Select your discipline to see the reason researchers in your field use Stata.
Quantitative behavioural scientists rely on Stata for its accuracy, extensibility, reproducibility, and ease of use. Whether you are researching cognitive development, studying personality traits, or developing measurement instruments, Stata provides all the statistics, graphics, and data management tools needed to pursue a broad range of behavioural science questions.
Structural equation modelling (SEM) | Hierarchical models | General linear models | Power, precision, and sample size | Linear, binary, and count regressions | IRT (item response theory) | Contrasts, marginal means, and profile plots | Meta-analysis | Multiple imputation | Multivariate methods | Choice models | Causal inference | Survey methods | Bayesian analysis | Automated reporting and dynamic document generation
Biostatisticians rely on Stata because of its breadth, accuracy, extensibility, and reproducibility. Regardless of your focus area—public health, cancer, HIV, clinical observational studies, clinical trials—or your statistical approach, whether cross-sectional, longitudinal, or time-to-event, Stata provides all the statistics, graphics, and data management tools needed to implement and study a wide range of biostatistical methods.
Survival analysis | Multilevel mixed-effects models | Bayesian analysis | Power, precision, and sample size | Linear, binary, and count regressions | Meta-analysis | Multiple imputation | Marginal means, contrasts, and interactions | Causal inference | Epidemiological tables | Programming Python integration | Survey methods | Automated reporting and dynamic document generation
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Data scientists rely on Stata because of its strong programming capabilities, reproducibility, extensibility, and interoperability. From data wrangling to reporting, Stata provides the tools you need to accomplish your analyses. Permissive licensing allows you to easily integrate it into your proprietary workflow.
Data wrangling | Automated reporting and dynamic document generation | Visualisation | Programming | Python integration | Interoperability | Statistics and modelling | Reproducibility | Lasso
Economists have relied on Stata for over 30 years because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching school selection, minimum wage, GDP, or stock trends, Stata provides all the statistics, graphics, and data management tools needed to pursue a broad range of economic questions.
Panel data | Time series | Cross-sectional models | Endogeneity and selection | Treatment effects | Marginal effects and marginal means | Choice models | Generalized method of moments (GMM) | Lasso | Programming | Python integration | Forecasting | Survival analysis | Bayesian analysis | Survey methods | Meta-analysis | Automated reporting and dynamic document generation
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Quantitative researchers in education rely on Stata because of its breadth, accuracy, and ease of use. Whether you are developing new tests or researching topics as diverse as learning and development, teacher effectiveness, or school finance, Stata puts the best statistical methods at your fingertips. All analysis is seamlessly integrated with graphics and data management into one package that lets you pursue a broad range of education questions.
Multilevel mixed-effects models | Structural equation modelling (SEM) | General linear models | Item response theory (IRT) | Linear, binary, and count regressions | Meta-analysis | Multiple imputation | Contrasts, marginal means, and profile plots | Power, precision, and sample size | Choice models | Causal inference | Bayesian analysis | Multivariate methods | Automated reporting and dynamic document generation
Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings.
Epidemiological tables | Survival analysis | Linear, binary, and count regressions | Survey methods | Marginal means, contrasts, and interactions | Power, precision, and sample size | Meta-analysis | Causal inference | Multiple imputation | Multilevel mixed-effects models | Bayesian analysis | Automated reporting and dynamic document generation
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Data-driven researchers in finance and business rely on Stata because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching asset pricing, capital market dynamics, customer-value management, Stata provides all the statistics, graphics, and data management tools to pursue a broad range of finance, and business questions.
Time series | Forecasting | Panel data | Lasso | Bayesian analysis | Mata | Python integration | Import and export data | Automated reporting and dynamic document generation
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Institutional researchers rely on Stata for its breadth, accuracy, reproducibility, and ease of use. Whether you are evaluating predictors of student retention, analysing faculty turnover rates, or studying the effects of tuition policies, Stata provides all the data manipulation, visualisation, statistics, and reporting tools you need to complete your analyses.
Importing and manipulating data | Visualisation | Automated reporting and dynamic document generation | Linear, binary, and count regressions | Multilevel mixed-effects models | Panel data | Structural equation modelling (SEM) | Meta-analysis | Causal inference | Choice models | Survival analysis | Multivariate methods | Bayesian analysis
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Data-driven researchers in marketing and market research rely on Stata because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching customer-value management, consumer and firm behaviour, or branding, Stata provides all the statistics, graphics, and data management tools to pursue a broad range of marketing and market research questions.
Time series | Forecasting | Panel data | Lasso | Bayesian analysis | Choice models | Python integration | Import and export data | Multilevel mixed-effects models | Automated reporting and dynamic document generation
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Medical researchers rely on Stata for its range of biostatistical methods, reproducibility, and ease of use. Whether you are conducting basic medical research or carrying out a clinical trial, Stata provides the tools you need to conduct your study from power and sample-size calculations to data management to analysis.
General linear models | Linear, binary, and count regressions | Power, precision, and sample size | Marginal means, contrasts, and interactions | Multilevel mixed-effects models | Meta-analysis | Multiple imputation | Survival analysis | Epidemiological tables | Automated reporting and dynamic document generation
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Quantitative political scientists rely on Stata because of its breadth, accuracy, and reproducibility. Whether you are researching decentralisation and federalism, voting behaviour, legislative redistricting, or internal conflict, Stata provides all the statistics, graphics, and data management tools needed to pursue a broad range of political science questions.
Panel data | Multilevel mixed-effects models | Causal inference | Multiple imputation | Structural equation modelling (SEM) | Time series | Linear, binary, and count regressions | Forecasting | Marginal means, contrasts, and interactions | Meta-analysis | Bayesian analysis | Lasso | Programming | Python integration | Endogeneity and selection | Survival analysis | Automated reporting and dynamic document generation
Researchers in public health and health services research rely on Stata because of its breadth, reproducibility, and ease of use. Whether you study interventions to address obesity, investigate small-area variations in care, or conduct program evaluation, Stata provides support for a wide variety of study designs. It also gives you data management tools specifically designed for health research and the ability to make publication-quality graphics for presentations.
Survey methods | Multilevel mixed-effects models | Panel data | Structural equation modelling (SEM) | Linear, binary, and count regressions | Meta-analysis | Multiple imputation | Adjusted predictions, contrasts, and interactions | Survival analysis | Causal inference | Time series | Item response theory (IRT) | Bayesian analysis | Automated reporting and dynamic document generation
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Public policy researchers have relied on Stata for over 30 years because of its breadth, accuracy, extensibility, and reproducibility. Whether you are researching trade, international development, defence, health, energy and environment, education, law, or urban planning, Stata provides all the statistics, graphics, and data management tools for you.
Causal inference | Panel data | Multilevel mixed-effects models | Structural equation modelling (SEM) | Linear, binary, and count regressions | Survival analysis | Meta-analysis | Marginal effects and marginal means | Lasso | Bayesian analysis | Endogeneity and selection | Programming | Multiple imputation | Automated reporting and dynamic document generation
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Quantitative sociologists rely on Stata because of its breadth, reproducibility, and ease of use. Whether you are researching health, race and ethnicity, family, gender, inequality, or demography, Stata provides all the statistics, graphics, and data management tools needed to address a broad range of sociological questions.
Survey methods | Multiple imputation | Multilevel mixed-effects models | Panel data | Meta-analysis | Linear, binary, and count regressions | Structural equation modelling (SEM) | Adjusted predictions, interactions, and moderation | Choice Models | Bayesian analysis | Causal inference | Programming | Automated reporting and dynamic document generation
Learn more about how Stata is used across research fields — from economics and finance to epidemiology, education and public policy. Explore the full range of disciplines on our Stata by field page.
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