Stata è un software statistico completo le cui potenzialità sono in grado di soddisfare un’ampia gamma di utenti accademici e professionali, in discipline quali economia, sociologia, psicologia, biostatistica, epidemiologia e altre. Stata include una vasta gamma di funzioni statistiche (vedi la sezione principali caratteristiche) e piene capacità di data management. E’ facile da usare per utenti alle prime armi, ma allo stesso tempo offre opzioni di programmazione sofisticate per gli utenti più esperti. Nuove potenzialità sviluppate e aggiornamenti ufficiali possono essere installati semplicemente tramite internet.
Stata è disponibile in tre diverse edizioni:
- Stata/BE è ideale per le banche dati di dimensione media
- Stata/SE permette di lavorare con banche dati molto più ampie rispetto a Stata/BE mentre
- Stata/MP è l’edizione più veloce, in grado di sfruttare le potenzialità di PC multiprocessori, inclusi Intel i3, i5, i7, i9 e AMD multi-core, Xeon, e Celeron. Consente per esempio di analizzare i dati a una velocità nettamente superiore: si risparmiano tra un terzo e la metà del tempo rispetto a Stata/SE su laptop dual-core economici e tra la metà e tre quarti del tempo su desktop e portatili con quattro core. Stata/MP è ancora più veloce su server multiprocessore; supporta processori fino a 64 core. Una velocità elevata è spesso cruciale quando si eseguono procedure di stima intensamente computazionali. Alcune delle procedure di stima di Stata, inclusa la regressione lineare, sono quasi perfettamente parallelizzate, il che significa che funzionano due volte più velocemente su una macchina con due core, quattro volte più velocemente su quattro core, otto volte più veloce su otto core e così via. E’ importante notare che alcuni comandi di stima possono essere parallelizzati più di altri. Considerandone la mediana, i comandi di stima sono 1,7 volte più veloci sulle macchine 2 core, 2,6 volte più veloci su 4 core e 3,4 volte più veloci sulle macchine con 8 core. La velocità può essere importante anche nella gestione dei dati di grandi dimensioni. L’aggiunta di nuove variabili per esempio è quasi parallela al 100%, mentre il comando di ordinamento dei dati è parallelo al 61%.
Consultare il rapporto Stata/MP per ulteriori informazioni sulle capacità e velocità dell’edizione Stata/MP.
Le edizioni di Stata (Stata/BE, Stata/SE e Stata/MP) si distinguono fra di loro secondo le caratteristiche indicate nella seguente tabella:
| Stata/MP | Stata/SE | Stata/BE | |
| Numero Massimo di Variabili | 120.000 | 32.767 | 2.048 |
| Numero Massimo di Variabili Indipendenti | 65.532 | 10.998 | 798 |
| Numero Massimo di Osservazioni | fino a 20 Miliardi | fino a 2,14 Miliardi | fino a 2,14 Miliardi |
| Documentazione completa in formato PDF | Inclusa | Inclusa | Inclusa |
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LINEAR MODELS regression • censored outcomes • endogenous regressors • bootstrap, jackknife, and robust and cluster–robust variance • wild cluster bootstrap • instrumental variables • control functions • three-stage least squares • constraints • quantile regression • GLS • DID • HDFE •
PANEL/LONGITUDINAL DATA random and fixed effects with robust standard errors • HDFE • CRE • linear mixed models • random-effects probit • GEE • random- and fixed-effects Poisson • dynamic panel-data models • instrumental variables • DID • panel unit-root tests • panel-data VAR •
MULTILEVEL MIXED-EFFECTS MODELS continuous, binary, count, and survival outcomes • two-, three-, and higher-level models • generalized linear models • nonlinear models • random intercepts • random slopes • crossed random effects • BLUPs of effects and fitted values • hierarchical models • residual error structures • DDF adjustments • support for survey data •
BINARY, COUNT, AND LIMITED OUTCOMES logistic, probit, tobit • Poisson and negative binomial • conditional, multinomial, nested, ordered, rank-ordered, and stereotype logistic • multinomial probit • zero-inflated and left-truncated models • selection models • marginal effects •
CHOICE MODELS discrete choice • rank-ordered alternatives • conditional logit • multinomial probit • nested logit • mixed logit • panel data • case-specific and alternative-specific predictors • interpret results—expected probabilities, covariate effects, comparisons across alternatives •
EXTENDED REGRESSION MODELS (ERMS) endogenous covariates • sample selection • nonrandom treatment • panel data • account for problems alone or in combination • continuous, interval-censored, binary, and ordinal outcomes •
GENERALIZED LINEAR MODELS (GLMS) ten link functions • user-defined links • seven distributions • ML and IRLS estimation • nine variance estimators • seven residuals •
FINITE MIXTURE MODELS (FMMS) fmm: prefix for 17 estimators • mixtures of a single estimator • mixtures combining multiple estimators or distributions • continuous, binary, count, ordinal, categorical, censored, truncated, and survival outcomes •
SPATIAL AUTOREGRESSIVE MODELS spatial lags of dependent variable, independent variables, and autoregressive errors • fixed and random effects in panel data • endogenous covariates • analyze spillover effects •
ANOVA/MANOVA balanced and unbalanced designs • factorial, nested, and mixed designs • repeated measures • marginal means • contrasts •
EXACT STATISTICS exact logistic and Poisson regression • exact case–control statistics • binomial tests • Fisher’s exact test for r × c tables •
EPIDEMIOLOGY standardization of rates • case–control • cohort • matched case–control • Mantel–Haenszel • pharmacokinetics • ROC analysis • ICD-10 • additive models of risk • meta-analysis •
DSGE MODELS specify models algebraically • solve models • estimate parameters • identification diagnostics • policy and transition matrices • IRFs • dynamic forecasts • Bayesian •
TESTS, PREDICTIONS, AND EFFECTS Wald tests • LR tests • linear and nonlinear combinations • predictions and generalized predictions • marginal means • least-squares means • adjusted means • marginal and partial effects • forecast models • Hausman tests •
CONTRASTS, PAIRWISE COMPARISONS, AND MARGINS compare means, intercepts, or slopes • compare with reference category, adjacent category, grand mean, etc. • orthogonal polynomials • multiple-comparison adjustments • graph estimated means and contrasts • interaction plots •
RESAMPLING AND SIMULATION METHODS bootstrap • Bayesian bootstrap • jackknife • Monte Carlo simulation • permutation tests • exact p-values •
MULTIVARIATE METHODS factor analysis • principal components • discriminant analysis • rotation • multidimensional scaling • Procrustean analysis • correspondence analysis • biplots • dendrograms • user-extensible analyses •
CLUSTER ANALYSIS hierarchical clustering • kmeans and kmedian nonhierarchical clustering • dendrograms • stopping rules • user-extensible analyses •
NETWORK ANALYSIS nwcommands: import and manipulate networks • generate networks • calculate centrality and dissimilarity measures • visualize networks •
TIME SERIES ARIMA • ARFIMA • ARCH/GARCH • VAR • SVAR • IVSVAR • VEC • multivariate GARCH • unobserved-components model • dynamic factors • state-space models • Markov-switching models • business calendars • tests for structural breaks • threshold regression • forecasts • impulse–response functions • local projections • unit-root tests • filters and smoothers • rolling and recursive estimation • Bayesian •
SURVIVAL ANALYSIS Kaplan–Meier and Nelson–Aalen estimators • Cox regression (frailty) • parametric models (frailty, random effects) • competing risks • hazards • time-varying covariates • left-, right-, and interval-censoring • Weibull, exponential, and Gompertz models • marginal models •
BAYESIAN ANALYSIS thousands of built-in models • univariate and multivariate models • linear and nonlinear models • panel data • multilevel models • VAR • DSGE • continuous, binary, ordinal, and count outcomes • bayes: prefix for over 60 estimation commands • variable selection • continuous univariate, multivariate, and discrete priors • add your own models • multiple chains • convergence diagnostics • posterior summaries • hypothesis testing • model fit • model comparison • predictions • dynamic forecast • impulse–response functions •
BAYESIAN MODEL AVERAGING full enumeration • MC3 and MH sampling • three model prior classes • fixed and random g-priors for coefficients • heredity rules • PIP for predictors • model ranking by PMP • BMA convergence • variable-inclusion maps • model-size distribution plots • jointness measures • log predictive-score • predictions •
META-ANALYSIS effect sizes • common, fixed, and random effects • forest, funnel, and more plots • subgroup, leave-one-out, and cumulative analysis • meta-regression • small-study effects • publication bias • multivariate • multilevel •
POWER, PRECISION, AND SAMPLE SIZE power • sample size • effect size • minimum detectable effect • CI width • means • proportions • variances • correlations • ANOVA • regression • cluster randomized designs • case–control studies • cohort studies • contingency tables • survival analysis • balanced or unbalanced designs • results in tables or graphs • group sequential designs for clinical trials •
CAUSAL INFERENCE/TREATMENT EFFECTS inverse probability weight (IPW) • doubly robust methods • propensity-score matching • regression adjustment • covariate matching • CATE • DID • multilevel treatments • endogenous treatments • average treatment effects (ATEs) • ATEs on the treated (ATET) • potential-outcome means (POMs) • continuous, binary, count, fractional, and survival outcomes • panel data • lasso • casual mediation analysis • |
MACHINE LEARNING Machine learning via H2O • Lasso for prediction and inference • Unsupervised learning: PCA, kmeans, and more • Bayesian variable selection • Bayesian model averaging • Community-contributed features •
LASSO lasso • elastic net • model selection • prediction • inference • continuous, binary, count, and survival outcomes • cross-validation • adaptive lasso • double selection • partialing out • cross-fit partialing out • double machine learning • endogenous covariates • treatment effects •
MACHINE LEARNING VIA H2O ensemble decision trees • gradient boosting machine • random forest • regression • classification • tuning • validation • cross-validation • prediction • ROC curve • precision–recall curve • explainability • SHAP values • variable importance • PDP • ICE •
SEM (STRUCTURAL EQUATION MODELING) graphical path diagram builder • standardized and unstandardized estimates • modification indices • direct and indirect effects • continuous, binary, count, ordinal, and survival outcomes • multilevel models • random slopes and intercepts • factor scores, empirical Bayes, and other predictions • groups and tests of invariance • goodness of fit • handles MAR data by FIML • correlated data • survey data •
LATENT CLASS ANALYSIS binary, ordinal, continuous, count, categorical, fractional, and survival items • add covariates to model class membership • combine with SEM path models • expected class proportions • goodness of fit • predictions of class membership • model-comparison statistics •
MULTIPLE IMPUTATION nine univariate imputation methods • multivariate normal imputation • chained equations • explore pattern of missingness • manage imputed datasets • fit model and pool results • transform parameters • joint tests of parameter estimates • predictions •
SURVEY METHODS multistage designs • bootstrap, BRR, jackknife, linearized, and SDR variance estimation • poststratification • raking • calibration • DEFF • predictive margins • means, proportions, ratios, totals • summary tables • almost all estimators supported •
IRT (ITEM RESPONSE THEORY) binary (1PL, 2PL, 3PL), ordinal, and categorical response models • item characteristic curves • test characteristic curves • item information functions • test information functions • multiple-group models • differential item functioning (DIF) •
DATA MANAGEMENT data transformations • data frames • match-merge • import/export data • JDBC • ODBC • SQL • Unicode • by-group processing • append files • sort • row–column transposition • labeling • save results •
REPORTING reproducible reports • customizable tables • graphical tables builder • Word • Excel • PDF • HTML • dynamic documents • Markdown • Stata results and graphs • SVG • EPS • PNG • TIF •
GRAPHICS lines • bars • areas • ranges • contours • confidence intervals • interaction plots • survival plots • publication quality • customize anything • Graph Editor •
PROGRAMMING FEATURES adding new commands • scripting • object-oriented programming • menu and dialog-box programming • dynamic documents • Markdown • Project Manager • Python integration • PyStata • Jupyter notebook • Java integration • Java plugins • H2O access • C/C++ plugins •
MATA—STATA’S SERIOUS PROGRAMMING LANGUAGE interactive sessions • large-scale development projects • optimization • matrix inversions • decompositions • eigenvalues and eigenvectors • LAPACK engine • Intel® MKL • real and complex numbers • string matrices • interface to Stata datasets and matrices • numerical derivatives • object-oriented programming •
GRAPHICAL USER INTERFACE menus and dialogs for all features • Data Editor • Variables Manager • Graph Editor • Project Manager • Do-file Editor • multiple preference sets •
DOCUMENTATION 36 manuals • 19,000+ pages • seamless navigation • thousands of worked examples • quick starts • methods and formulas • references •
BASIC STATISTICS summaries • cross-tabulations • correlations • z and t tests • equality-of-variance tests • tests of proportions • confidence intervals • factor variables •
NONPARAMETRIC METHODS nonparametric regression • Wilcoxon–Mann–Whitney, Wilcoxon signed ranks, and Kruskal–Wallis tests • Cochran–Armitage and other trend tests • Spearman and Kendall correlations • Kolmogorov–Smirnov tests • exact binomial CIs • survival data • ROC analysis • smoothing • bootstrapping •
NONLINEAR REGRESSION, GMM AND OTHER SYSTEMS OF EQUATIONS generalized method of moments (GMM) • nonlinear regression • demand systems •
SIMPLE MAXIMUM LIKELIHOOD specify likelihood using simple expressions • no programming required • survey data • standard, robust, bootstrap, and jackknife SEs • matrix estimators •
PROGRAMMABLE MAXIMUM LIKELIHOOD user-specified functions • NR, DFP, BFGS, BHHH • OIM, OPG, robust, bootstrap, and jackknife SEs • Wald tests • survey data • numeric or analytic derivatives •
OTHER STATISTICAL METHODS kappa measure of interrater agreement • Cronbach’s alpha • stepwise regression • tests of normality •
FUNCTIONS statistical • random-number • mathematical • string • date and time • regular expressions • Unicode •
INTERNET CAPABILITIES search and download thousands of community-contributed features (see below) • web updating • web file sharing • latest Stata news •
COMMUNITY-CONTRIBUTED FEATURES search and download thousands of free additions • discover new features in the Stata Journal • share commands by posting to the SSC • discuss community-contributed features on Statalist •
EMBEDDED STATISTICAL COMPUTATIONS Numerics by Stata
INSTALLATION QUALIFICATION IQ report for regulatory agencies such as the FDA • installation verification
FDA COMPLIANCE Adherence to FDA regulatory requirement for statistical software
ACCESSIBILITY Section 508 compliance, accessibility for persons with disabilities
SAMPLE SESSION |
Maggiori informazioni sui nuovi comandi e funzioni introdotti in Stata 19 possono essere ottenuti cliccando sull’argomento di interesse nella tabella sottostante.
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MACHINE LEARNING VIA H2O: ENSEMBLE DECISION TREES Employ machine learning to uncover insights from the data when traditional statistical models fall short. Use ensemble decision trees—gradient boosting machine (GBM) and random forest—to perform regression or classification.
CONDITIONAL AVERAGE TREATMENT EFFECTS (CATE) Go beyond estimating overall treatment effects in your causal analysis to estimating individualized and group-specific ones. Compare different interventions and policies. Explore treatment-effects heterogeneity.
HIGH-DIMENSIONAL FIXED EFFECTS (HDFE) Absorb not just one but multiple high-dimensional categorical variables in your linear, fixed-effects linear, and instrumental-variables linear models, and enjoy remarkable speed gains!
BAYESIAN VARIABLE SELECTION FOR LINEAR MODEL Select variables in a linear regression and account for variable-selection uncertainty with Bayesian variable selection. Choose between global–local shrinkage and spike-and-slab priors for regression coefficients, and perform Bayesian inference.
INTERVAL-CENSORED MULTIPLE-EVENT COX MODEL Need to analyze event times from multiple events such as the onsets of diabetes and hypertension? Don’t know the exact event times? Use marginal interval-censored multiple-event Cox model.
Use Bayesian quantile regression to obtain full posterior distributions of quantile regression coefficients for comprehensive inference, including model-based “standard errors”.
PANEL-DATA VECTOR AUTOREGRESSIVE MODEL Fit a panel-data vector autoregressive model to analyze the trajectories of related variables when you observe multiple units or panels over time.
CORRELATED RANDOM-EFFECTS (CRE) MODEL Want coefficient estimates of time-invariant covariates in your panel-data model? Fit an RE model. Want to allow for correlation between covariates and unobserved panel-level effects? Fit an FE model. Want both? With xtreg, cre, you can now fit a CRE model.
BAYESIAN BOOTSTRAP Perform Bayesian bootstrap to obtain more precise parameter estimates in small samples and incorporate prior information when sampling observations. Use it with official commands or community-contributed commands.
CONTROL-FUNCTION LINEAR AND PROBIT MODELS Fit control-function linear and probit models with continuous, binary, fractional, and count endogenous variables. Easily test for endogeneity.
GRAPHICS: BAR GRAPH CIS, HEAT MAPS, … Enjoy exciting new graphical features such as heat maps, spike and capped-spike range plots, bar graphs with CIs, and more!
SVAR MODELS VIA INSTRUMENTAL VARIABLES Use instruments instead of short-run constraints to estimate dynamic causal effects.
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INSTRUMENTAL-VARIABLES LOCAL-PROJECTION IRFS Account for endogeneity when using local projections to estimate dynamic causal effects.
LATENT CLASS MODEL-COMPARISON STATISTICS Easily compare latent class models with varying numbers of latent classes. Construct and export publication-quality tables comparing models.
META-ANALYSIS FOR CORRELATIONS Perform meta-analysis for correlations just like you already do for two-sample means and proportions. Use all standard features such as forest plots and subgroup analysis.
INFERENCE ROBUST TO WEAK INSTRUMENTS Do you have weak instruments in your instrumental-variables regression? Use hypotheses tests robust to weak instruments to perform reliable inference on endogenous regressors.
MUNDLAK SPECIFICATION TEST Use Mundlak specification test to choose between random-effects and fixed-effects or correlated random-effects models, even with cluster–robust, bootstrap, or jackknife standard errors.
BAYESIAN ASYMMETRIC LAPLACE MODEL Go beyond classic quantile regression by fitting Bayesian simultaneous, multilevel, and nonlinear quantile regression models.
DO-FILE EDITOR: AUTOCOMPLETION, TEMPLATES, … Navigator panel, file templates, code folding improvements, word and selection highlighting, more autocompletion, temporary bookmarks, and much more.
TABLES: EASIER TABULATIONS, EXPORTING, … Create a table, customize with title and notes, and export in one command. Easily collect and customize tabulations with measures of association, tabulations of survey data, and ANOVA tables.
MULTIPLE DATASETS: MODIFY A SET OF FRAMES If you work with multiple datasets in memory or frames, you can now modify a frameset file without loading it into memory: add frames in memory to it or drop frames from it.
STATA IN FRENCH All of Stata’s interface—all menus and all dialogs—is now available in French, joining English, Chinese, Japanese, Korean, Spanish, and Swedish.
MORE And there’s much more. See all the new features in Stata 19.
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Click here to download StataCorp licensing conditions.
BY INSTALLING OR USING THE LICENSED SOFTWARE FROM STATACORP LLC (“STATACORP”), THE INDIVIDUAL IF ACTING ON BEHALF OF HIMSELF OR HERSELF (“INDIVIDUAL CUSTOMER”) OR THE INDIVIDUAL WHO IS ACTING ON BEHALF OF AN EDUCATIONAL OR NONPROFIT INSTITUTION, GOVERNMENTAL AGENCY, OR OTHER ENTITY (“ENTITY CUSTOMER”, THE INDIVIDUAL CUSTOMER AND ENTITY CUSTOMER TOGETHER ARE “CUSTOMER”) IS AGREEING TO BE BOUND BY THIS SOFTWARE LICENSE AGREEMENT (“AGREEMENT”).
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3.2 Updates and Upgrades. To receive and use an Upgrade, Customer must pay the applicable fees for that Upgrade and agree to StataCorp’s standard terms and conditions governing the use of that Upgrade. If no such standard terms and conditions are stated by StataCorp, the terms of this Agreement shall apply and the Upgrade shall be deemed Licensed Software. StataCorp will issue a new Activation Key for the Upgrade. For a Single-User license, once StataCorp issues the new Activation Key for an Upgrade version, Customer shall be able to continue to use the prior version of the Licensed Software until any License Period has expired. For Network and Student Lab licenses, once StataCorp issues the new Activation Key for an Upgrade, Customer shall be able to continue to use the prior version of the Licensed Software on the condition that the total, combined number of Concurrent Authorized Users who are using the Licensed Software (either the prior version, Upgrade, or both) does not exceed the specific number of Concurrent Authorized Users for which Customer has paid the applicable fee and until any License Period has For a Single-User license, technical support services are provided only for the Customer of the then-current version of the Licensed Software. For any other type of license selected by Customer (i.e., Network or Student Lab), technical support services are provided only for the Authorized Users of the then-current version of the Licensed Software.
- LIMITED WARRANTY; WARRANTY DISCLAIMER.
4.1 Limited Media Warranty. For thirty (30) days from the date of purchase, StataCorp warrants that the media on which the Licensed Software, StataCorp Enhancements, and Documentation is furnished shall be free from defects in material and faulty workmanship. Customer may return for replacement, without charge, any media that fails to meet this limited media warranty to StataCorp or the dealer from whom the Licensed Software (and StataCorp Enhancements) was purchased, as applicable, within the 30-day period. StataCorp or the applicable dealer will not be responsible for replacing any media that contains defects due to Customer’s misuse. THE FOREGOING IS CUSTOMER’S SOLE REMEDY, AND STATACORP’S SOLE OBLIGATION, WITH RESPECT TO A BREACH OF THE LIMITED MEDIA WARRANTY.
4.2 Performance Warranty. StataCorp represents and warrants for a period of 90 days from the date of the order that the Licensed Software substantially conforms to the functional specifications in the Stata Reference Manual. StataCorp will repair or replace the Licensed Software if this warranty is breached unless it cannot do so within a reasonable period of time, then StataCorp will refund the fee paid for that license under the order (this Agreement will then terminate). Customer must notify StataCorp during the warranty period or 30 days after it ends of any alleged breach of the warranty. THIS SECTION CONTAINS CUSTOMER’S EXCLUSIVE REMEDY AND STATACORP’S SOLE LIABILITY FOR BREACH OF THIS WARRANTY.
4.3 No Disabling Code. With respect to the Licensed Software (including any Updates or Upgrades) and as of the date of delivery, StataCorp represents and warrants that (i) it has used commercially reasonable efforts consistent with industry standards to scan for and remove any software viruses, and (ii) it has not inserted any Disabling Code.
“Disabling Code” means computer code inserted by StataCorp that is not addressed in the Documentation and that is designed to delete, interfere with, or disable the normal operation of the Products. This Disabling Code warranty does not apply to StataCorp passwords necessary for the operation of the Licensed Software, to the Licensed Software’s Activation Key requirement, or for any use by Customer outside the scope of the license.
4.4 No Warranty. EXCEPT FOR THE WARRANTIES ABOVE, THE LICENSED SOFTWARE, DOCUMENTATION, AND SUPPORT SERVICES ARE PROVIDED TO CUSTOMER ON AN ‘AS IS’ AND ‘WHERE IS’ BASIS AND WITHOUT WARRANTY OF ANY TYPE OR KIND. STATACORP HEREBY EXPRESSLY DISCLAIMS AND EXCLUDES ON BEHALF OF ITSELF AND ITS LICENSORS ALL WARRANTIES AND CONDITIONS, WHETHER STATUTORY, EXPRESS, IMPLIED, OR OTHERWISE, WITH RESPECT TO THE LICENSED SOFTWARE AND SUPPORT SERVICES, INCLUDING, BUT NOT LIMITED TO, ANY IMPLIED WARRANTY OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT OF THIRD PARTY RIGHTS.
- TERM AND TERMINATION.
5.1 Term. If License Period is not for a fixed term, this Agreement shall commence on the Effective Date and shall continue in effect until terminated as set forth below. If the License Period is for a fixed term, this Agreement will commence on the Effective Date and shall continue until the earlier to occur of the expiration of the License Period or the termination of this Agreement as set forth below. In the case of additional Concurrent Authorized Users who are authorized and added after the initial License Fee payment, the term of their usage of the Licensed Software shall be coterminous with the preexisting then-current term. If Customer purchases an Upgrade, the term of the Agreement shall be the specific term set forth in the new License and Activation Key issued for the Upgrade.
5.2 Termination. Customer may terminate this Agreement at any time with written notice to StataCorp. StataCorp may terminate this Agreement immediately without notice if Customer breaches any term of this Agreement, including, without limitation, breaching the scope of the license granted or confidentiality obligations under this Agreement.
5.3 Effect of Expiration or Termination. Upon expiration or termination of this Agreement, (i) the rights and licenses granted to Customer pursuant to this Agreement shall automatically and immediately terminate and (ii) Customer shall immediately cease using the Licensed Software. In addition, for a fixed-term License Period, upon expiration of the License Period, the Activation Key will expire and the Licensed Software will cease to function. Sections 2.5, 2.6, 2.7, 2.8 4.4, 5.3, 7, 8, 9, 10, and 11 of this Agreement shall survive any expiration or termination of this Agreement.
- FEES AND PAYMENT.
6.1 Fees and Payment Terms. Customer licenses the Licensed Software from StataCorp. This Agreement is between Customer and StataCorp solely. The applicable License Fee is specified on the StataCorp Website or in the specific price proposal provided by StataCorp or an Authorized Reseller. The payment terms and conditions for the License Fee payable to StataCorp are specified on the StataCorp invoice or in the specific price proposal provided by StataCorp. The payment terms and conditions for the License Fee payable to an Authorized Reseller are as specified by the specific Authorized Reseller. All fees paid to StataCorp are non-refundable except as explicitly permitted from time to time on the StataCorp Website. StataCorp may terminate this Agreement and invalidate Customer’s Activation Key if the billing or contact information is false, fraudulent, or Customer will pay all taxes, including sales, use, personal property, value-added, excise, customs fees, import duties, stamp duties, and any other similar taxes and duties, including penalties and interest, imposed by any United States federal, state, provincial, or local government entity or any non-U.S. government entity on the transactions contemplated by this Agreement, excluding taxes based upon StataCorp’s net income. StataCorp will not collect, and Customer will not pay, any sales tax for which a valid and properly completed sales tax exemption or resale certificate is provided. Customer bears sole responsibility for any withholding taxes assessable by any local, state, provincial, or foreign jurisdiction. Should such taxes be deducted from the total amount payable, Customer is still liable for the full License Fee payable to StataCorp.
6.2 Additional Concurrent Authorized Users Fee. During the License Period, Customer shall pay to StataCorp or the specific Authorized Reseller the then-current rate for any licenses for additional Concurrent Authorized Users. This fee shall be charged or invoiced to Customer on the date such additional Concurrent Authorized Users are added to Customer’s account.
6.3 Concurrent Authorized User Accounting. Customer shall maintain business practices and records necessary to manage the number of Concurrent Authorized Users and compliance with the terms of this Agreement. StataCorp has the right to request usage reports during the License Period and Customer will provide such a report within 30 days of request. If StataCorp determines that Customer has more Concurrent Authorized Users than Customer has paid for, Customer shall immediately pay StataCorp the applicable additional fees.
- CONFIDENTIALITY.
Customer and StataCorp agree to maintain the confidentiality of any confidential or proprietary information of one party (the “disclosing party”) received by the other party (the “receiving party”) during the term of, or prior to entering into, this Agreement that the receiving party should know is considered confidential or proprietary by the disclosing party based on the circumstances surrounding the disclosure, including, without limitation, non-public technical and business information (“Confidential Information”). The Licensed Software is copyrighted and shall be deemed StataCorp’s Confidential Information. The Documentation is copyrighted material of StataCorp. This section shall not apply to any information that is or becomes publicly available through no breach of this Agreement by the receiving party or is independently developed by the receiving party without access to or use of the Confidential Information of the disclosing party. The foregoing confidentiality obligations will not restrict either party from disclosing Confidential Information of the other party pursuant to the order or requirement of a court, administrative agency, or other governmental body, provided that the party required to make such a disclosure gives reasonable notice to the other party to enable the other party to seek a protective order or otherwise limit such disclosure. The receiving party of any Confidential Information of the disclosing party agrees not to use the disclosing party’s Confidential Information for any purpose except as necessary to fulfill its obligations and exercise its rights under this Agreement. The receiving party shall protect the secrecy of and avoid disclosure and unauthorized use of the disclosing party’s Confidential Information with no less than reasonable care. All the disclosing party’s information remains the property of the disclosing party.
- LIMITATION OF LIABILITY.
8.1 Consequential Damages Waiver. IN NO EVENT SHALL STATACORP OR ITS LICENSORS HAVE ANY LIABILITY FOR ANY INCIDENTAL, CONSEQUENTIAL, INDIRECT, SPECIAL, OR PUNITIVE DAMAGES ARISING OUT OF OR IN CONNECTION WITH THIS AGREEMENT, REGARDLESS OF THE FORM OF THE ACTION, WHETHER IN CONTRACT, TORT (INCLUDING NEGLIGENCE), STRICT PRODUCT LIABILITY, OR OTHERWISE, EVEN IF ANY REPRESENTATIVE OF STATACORP HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES AND NOTWITHSTANDING THE FAILURE OF THE ESSENTIAL PURPOSE OF THIS AGREEMENT OR ANY LIMITED REMEDY HEREUNDER.
8.2 Limitation of Damages. IN NO EVENT SHALL STATACORP’S LIABILITY ARISING OUT OF OR RELATED TO THIS AGREEMENT EXCEED: (I) IF THE LICENSED SOFTWARE IS LICENSED FROM STATACORP DIRECTLY, THE LICENSE FEES PAID BY CUSTOMER TO STATACORP FOR THE LICENSED SOFTWARE, OR
(II) IF THE LICENSED SOFTWARE IS LICENSED THROUGH AN AUTHORIZED RESELLER, THE LICENSE FEES PAID BY CUSTOMER TO THE APPLICABLE AUTHORIZED RESELLER, AS APPLICABLE. IN NO EVENT WILL STATACORP’S LICENSORS HAVE ANY LIABILITY FOR ANY CLAIM ARISING IN CONNECTION WITH THIS AGREEMENT.
8.3 Limitation of Remedies. THE PARTIES AGREE THAT THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING THE FAILURE OF THE ESSENTIAL PURPOSE OF THIS AGREEMENT OR ANY LIMITED REMEDY HEREUNDER.
- U.S. GOVERNMENT CUSTOMERS.
The Licensed Software under this Agreement is “commercial computer software” as that term is described in DFAR 252.227-7014(a)(1). If acquired by or on behalf of a civilian agency, the U.S. Government acquires this commercial computer software and/or commercial computer software documentation subject to the terms and this Agreement as specified in 48 C.F.R. 12.212 (Computer Software) and 12.111(Technical Data) of the Federal Acquisition Regulations (“FAR”) and its successors. If acquired by or on behalf of any agency within the Department of Defense (“DOD”), the U.S. Government acquires this commercial computer software and/or commercial computer software documentation subject to the terms of this Agreement as specified in 48 C.F.R. 227.7202 of the DOD FAR Supplement and its successors.
- ICD-10 USERS.
The World Health Organization (WHO) ICD-10 codes are provided as part of the Licensed Software with the expressed permission and direction of the WHO. The use of ICD-10 with Licensed Software does not imply any endorsement of Licensed Software by WHO. The ICD-10 codes shall not be amended, abridged, translated, deleted or in any way changed without the consent of WHO. The ICD-10 codes are for the use of Authorized User. They are not to be reproduced, transmitted or distributed outside of Authorized User’s organization in any form or by any means except in summary results of analyses. ICD-10 is distributed without warranty of any kind, either express or implied. In no event shall the World Health Organization be liable for damages, including any general, special, incidental, or consequential damages, arising out of the use of ICD-10.
- GOVERNING LAW AND JURISDICTION.
Unless the Customer is required by statute or regulation to apply the law of a state other than Texas, this Agreement will be governed by and construed in accordance with the laws of the State of Texas and the federal U.S. laws applicable therein, excluding any conflicts of law provisions, and the Customer and StataCorp agree to submit to the personal and exclusive jurisdiction of the courts located in Harris County, Texas. If the statute or regulation applying to the Customer requires the application of a law of a state other than Texas, the parties agree that the terms of this Agreement shall be governed and construed in accordance with the law specified in such statute or regulation, and the Customer shall give written notice of such requirement to StataCorp. The application of such different law shall be effective upon the receipt of such written notice by StataCorp.
- GENERAL.
Except as expressly provided herein, Customer may not assign or transfer any of its rights under this Agreement (including its licenses with respect to the Licensed Software and Documentation) without the prior written consent of StataCorp. The parties agree that the United Nations Convention on Contracts for the International Sale of Goods will not apply to this Agreement. The failure of either party to require performance by the other party of any provision hereof shall not affect the full right to require such performance at any time thereafter, nor shall the waiver by either party of a breach of any provision hereof be taken or held to be a waiver of the provision itself. If any provision of this Agreement is found void and unenforceable, it will be replaced to the extent possible by StataCorp with a provision that comes closest to the meaning of the original provision. This Agreement and the documents referenced in this Agreement constitute the entire agreement between Customer and StataCorp relating to its subject matter and all terms herein and supersede all prior or contemporaneous agreements or understandings. This Agreement may be modified or changed only in writing signed by authorized representatives of Customer and StataCorp. Notices hereunder shall be in writing and addressed to Customer at the address provided when purchasing this license or, in the case of StataCorp, when addressed to StataCorp LLC, Attn: Vice President, Finance and Operations, 4905 Lakeway Drive, College Station, Texas 77845, USA.
Rev. April 2025
SISTEMI OPERATIVI
WINDOWS:
- Windows 10, 11*
- Windows Server 2022, 2019, 2016, 2012R2*
*Stata per Windows richiede un processore 64-bit Windows x86-64 Intel® oppure processori AMD (Core i3 equivalente o migliori)
MAC:
- Stata per Mac richiede processori Apple Silicon oppure Intel®
- Da macOS 11 (Big Sur) fino a macOS 15 (Sequoia) per i Mac con Apple Silicon e da macOS 10.13 (High Sierra) fino a macOS 15 (Sequoia) per i Mac con processori Intel
LINUX:
- Qualsiasi macchina a 64 bit (Corse i3 o superiore) eseguibile in Linux
- Requisiti minimi: devono essere installate le librerie GNU C (glibc) 2.28 o superiori e libcurl4
- Controllare l’output di ldd -v all’interno del terminale
- Per xstata è necessario avere installato GTK 2.24
RICHIESTE DI SISTEMA
- RAM: Stata/BE richiede 1GB di memoria, Stata/SE 2 GB e Stata/MP 4 GB
- Spazio su disco fisso: Stata 19 richiede 4 GB di spazio sul disco fisso
- Ulteriori richieste Hardware Linux: Stata per Linux richiede una scheda video in grado di visualizzare migliaia di colori (colori a 16-bit o 24-bit)
AGGIORNAMENTO AUTOMATICO DEGLI UPDATES UFFICIALI VIA INTERNET
Aggiornare gli updates ufficiali, comandi scritti da utenti di Stata ecc.
ARCHIVI DELLO STATALIST
Il Boston College Statistical Software Components Archive (SSC), coordinato da Christopher Baum (baum@bc.edu) contiene tutti gli scambi di programmi completi o comandi scritti dagli utenti Stata dello Statalist. L’archivio contiene anche script e programmi di altri Software statistici e matematici, ed è possibile reperire tutti i contenuti tramite: i) IDEAS, presso l’Università del Quebec, Canada; e ii) EconPapers, presso la Scuola di Economia di Stoccolma (che può fornire un accesso più rapido agli utenti in Europa)
CONferenza Italiana degli Utenti di Stata
La Conferenza rappresenta un importante punto di riferimento fra gli utenti di Stata e un’occasione unica di scambio interdisciplinare. Sono infatti graditi sia contributi metodologici, sia analisi applicate in diversi campi di ricerca, nuovi comandi scritti dagli utenti, nonché disparate applicazioni in Economia, Biostatistica, Scienze Sociali, Psicologia e gestione dei dati.
CONTRATTO DI MANUTENZIONE StataCorp LLC
La StataCorp offre ai propri clienti la possibilità di sottoscrivere un contratto di manutenzione annuale e semestrale che offre i seguenti vantaggi:
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un aggiornamento gratuito all’ultima versione di Stata, nel caso in cui ne venga rilasciata una nuova durante il periodo di sottoscrizione al contratto di manutenzione;
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accesso al servizio di supporto tecnico online sia di TStat che di StataCorp.
La documentazione completa in PDF, disponibile sia nella versione download sia nella versione con USB del Software, composta da 36 manuali e più di 19.000 pagine, verrà archiviata automaticamente nella cartella c:\programmi\Stata19\docs in ambiente Windows, oppure dentro Applications/Stata/docs in ambiente Mac.
Il manuale Getting Started with Stata disponibile per Windows, Mac e Linux, contiene una breve e utile introduzione all’uso del software.
STATA CHEAT SHEETS
Gli utenti possono scaricare gli utili Cheat Sheats direttamente da:
- Data Analysis
- Programming
- Data Processing
- Data Transformation
- Data Visualization
- Plotting in Stata
- Dates and Times
- Call Python from Stata
Stata Journal è una rivista scientifica che contiene articoli recensiti relativi a Stata e sul software scritti dall’utente Stata. Stata Journal è incluso negli indici di citazioni scientifiche.
Al contrario di un corso di formazione di tipo tradizionale, dove gli iscritti devono frequentare il corso di persona, i NetCourse della StataCorp si svolgono completamente on-line dove gli iscritti entrano a far parte di un circuito chiuso di posta elettronica. I NetCourse sono quindi più facilmente accessibili dal punto di vista logistico ed economico rispetto ai corsi di tipo tradizionale. Inoltre la struttura dei corsi è molto più flessibile, dato che non ci sono vincoli d’orario. Normalmente i corsi sono divisi fra alcune sessioni; all’inizio di ogni sessione, gli iscritti ricevono tutto il materiale rilevante: dispense; risposte alle domande e soluzioni dagli esercizi fatti nella sessione precedente. Fra le sessioni c’è un periodo di interruzione che permette agli iscritti di: ripassare le precedenti lezioni; fare alcuni esercizi relativi alla materia dell’ultima sessione; discutere problemi/idee con gli altri partecipanti e il responsabile del corso. Alla fine del corso, il circuito di posta elettronica rimane aperto per un periodo predefinito per permettere discussioni fra i partecipanti e il responsabile.
STATA USERS LIST- ‘THE STATA LISTSERVER’
Lo Statalist è un forum gestito dagli utenti di Stata tramite il quale tutti gli utenti, a partire dai neofiti ai più esperti, possono scambiare le informazioni, mantenendo un interessante e sempre acceso dialogo sulla statistica e su Stata. Per seguire il Forum è necessario registrarsi (gratuitamente) a: http://www.statalist.org/forums/register
Le pubblicazioni della Stata Press sono potenti strumenti per l’apprendimento non solo di particolari metodologie statistiche ma anche di come utilizzare il Software Stata nel modo più efficiente. I testi illustrano passo per passo l’applicazione in Stata di metodi di analisi sviluppati in vari campi di ricerca e sono un importante supporto di approfondimento per tutti gli utenti.
Per tutti coloro che desiderano approfondire l’utilizzo di Stata attraverso una serie di brevi Video Tutorial on-line.
Per tutti coloro che desiderano approfondire l’utilizzo di Stata a partire dall’uso del Software, migliorare le proprie abilità e competenze per sviluppare qualcosa di nuovo, imparare alcuni trucchi per migliorare il proprio lavoro in Stata e infine apprenderne le tecniche base per un uso quotidiano efficiente, la StataCorp ha sviluppato una serie di Webinars efficaci e coinvolgenti.
© Copyright StataCorp LLC 1996-2025
Stata è un software statistico completo le cui potenzialità sono in grado di soddisfare un’ampia gamma di utenti accademici e professionali, in discipline quali economia, sociologia, psicologia, biostatistica, epidemiologia e altre. Include una vasta gamma di funzioni statistiche (vedi la sezione principali caratteristiche) e piene capacità di data management. E’ facile da usare per utenti alle prime armi, ma allo stesso tempo offre opzioni di programmazione sofisticate per gli utenti più esperti.
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Regressione Lineare e Logistica in Ambito Sanitario con Stata
Il corso “Regressione Lineare e Logistica in Ambito Sanitario in Stata” offre ai partecipanti una panoramica delle tecniche ...
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Introduzione a Stata
Il corso fornisce gli strumenti necessari per permettere ai partecipanti di eseguire la gestione e l’analisi ...
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Analisi della Sopravvivenza con Stata: un Case Study
Il corso L’Analisi della Sopravvivenza – Un Case Study si focalizza sui diversi aspetti legati alla ...
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Machine Learning in Stata: Una Introduzione Modulo I
Il corso offre una introduzione ad alcune popolari tecniche di machine learning utilizzando il software Stata. ...
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Machine Learning in Stata: Una Introduzione Modulo II
Il corso offre una introduzione ad alcune popolari tecniche di machine learning utilizzando il software Stata. ...
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Regressione Lineare e Logistica in Ambito Sanitario con Stata
Il corso “Regressione Lineare e Logistica in Ambito Sanitario in Stata” offre ai partecipanti una panoramica delle tecniche ...
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Introduzione a Stata
Il corso fornisce gli strumenti necessari per permettere ai partecipanti di eseguire la gestione e l’analisi ...
