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Video tutorials on using Stata

Below are links to short video tutorials on using Stata. StataCorp is continually adding new videos. The viewing resolution of the videos can be adjusted by clicking on the “Change Quality” icon on the bottom right of each video. The videos can be viewed at a resolution of up to 1080p, but you might want to experiment with different resolution settings to find the best quality for your combination of monitor resolution and download speed.


Tour of Stata 14
Tour of the Stata 14 interface
PDF documentation in Stata 14
Bayesian analysis in Stata
Censored Poisson regression in Stata
Endogenous treatment effects in Stata
Graphical user interface for Bayesian analysis in Stata
IRT (item response theory) models in Stata
Japanese and Spanish interface in Stata 14
Markov-switching models in Stata
Multilevel models for survey data in Stata
Multilevel survival analysis in Stata
New power and sample-size features in Stata
Panel-data survival models in Stata
Postestimation Selector in Stata
Regression models for fractional data in Stata
Satorra–Bentler adjustments for SEM
Small-sample inference for mixed-effects models in Stata
Survey data support for SEM in Stata
Survival models for SEM in Stata
Treatment effects for survival models in Stata
Unicode in Stata
Stata basics
Tour of the Stata 14 interface
Quick help in Stata
PDF documentation in Stata 14
Example data included with Stata
How to download and install user-written commands in Stata
Tour of Stata Project Manager
Postestimation Selector in Stata
Data management
Copy/paste data from Excel into Stata
Import Excel data into Stata
Converting data to Stata with Stat/Transfer
Stata's Expression Builder
Tour of long strings and BLOBs
Importing delimited data
Saving estimation results to Excel
Unicode in Stata
Graphics
Bar graphs in Stata
Box plots in Stata
Basic scatterplots in Stata
Histograms in Stata
Pie charts in Stata
Contour plots in Stata
Stata's Expression Builder
Bayesian analysis
Bayesian analysis in Stata
Graphical user interface for Bayesian analysis in Stata
Binary, count, and fractional outcomes
Logistic regression in Stata, part 1: Binary predictors
Logistic regression in Stata, part 2: Continuous predictors
Logistic regression in Stata, part 3: Factor variables
Regression models for fractional data in Stata
Case–control studies
Stratified analysis of case–control data
Odds ratios for case–control data
Classical hypothesis tests
One-sample t test in Stata
t test for two paired samples in Stata
t test for two independent samples in Stata
Descriptive statistics, tables, and cross-tabulations
Descriptive statistics in Stata
Tables and cross-tabulations in Stata
Combining cross-tabulations and descriptives in Stata
Pearson’s chi2 and Fisher’s exact test in Stata
Econometrics
Instrumental-variables regression using Stata
Effect sizes
Tour of effect sizes
Factor variables
The basics
Interactions
More interactions
Factor variable labels to results
Immediate commands
Confidence intervals calculator for normal data
Confidence intervals calculator for binomial data
Confidence intervals calculator for Poisson data
Cross-tabulations and chi-squared tests calculator
One-sample t tests calculator
Two-sample t tests calculator
Incidence-rate ratios calculator
Risk-ratios calculator
Odds-ratios calculator
IRT (item response theory)
IRT (item response theory) models in Stata
Linear models
One-way ANOVA in Stata
Two-way ANOVA in Stata
Pearson’s correlation coefficient in Stata
Simple linear regression in Stata
Analysis of covariance in Stata
Marginal means, predictive margins, and contrasts
Introduction to margins in Stata, part 1: Categorical variables
Introduction to margins in Stata, part 2: Continuous variables
Introduction to margins in Stata, part 3: Interactions
Profile plots and interaction plots in Stata, part 1: A single categorical variable
Profile plots and interaction plots in Stata, part 2: A single continuous variable
Profile plots and interaction plots in Stata, part 3: Interactions of categorical variables
Profile plots and interaction plots in Stata, part 4: Interactions of continuous and categorical variables
Profile plots and interaction plots in Stata, part 5: Interactions of two continuous variables
Introduction to contrasts in Stata: One-way ANOVA
Multilevel mixed-effects models
Introduction to multilevel linear models, part 1
Introduction to multilevel linear models, part 2
Tour of multilevel GLMs
Multilevel survival analysis in Stata
Multilevel models for survey data in Stata
Small-sample inference for mixed-effects models in Stata
Multiple imputation
Setup, imputation, estimation—regression imputation
Setup, imputation, estimation—predictive mean matching
Setup, imputation, estimation—logistic regression
Panel data
Ordered logistic and probit for panel data
Panel-data survival models in Stata
Power and sample size
Tour of power and sample size
A conceptual introduction to power and sample size using Stata
Sample-size calculation for comparing a sample mean to a reference value using Stata
Power calculation for comparing a sample mean to a reference value using Stata
Find the minimum detectable effect size for comparing a sample mean to a reference value using Stata
Sample-size calculation for comparing a sample proportion to a reference value using Stata
Power calculation for comparing a sample proportion to a reference value using Stata
Minimum detectable effect size for comparing a sample proportion to a reference value using Stata
How to calculate sample size for two independent proportions using Stata
How to calculate power for two independent proportions using Stata
How to calculate minimum detectable effect size for two independent proportions using Stata
Sample-size calculation for comparing sample means from two paired samples
Power calculation for comparing sample means from two paired samples
How to calculate the minimum detectable effect size for comparing the means from two paired samples
Sample size calculation for one-way analysis of variance using Stata
Power calculation for one-way analysis of variance using Stata
Minimum detectable effect size for one-way analysis of variance using Stata
New power and sample-size features in Stata
Structural equation modeling
Tour of multilevel generalized SEM
SEM Builder in Stata
Satorra–Bentler adjustments for SEM
Survey data support for SEM in Stata
Survival models for SEM in Stata
Survey data analysis
How to download, import, and merge multiple datasets from the NHANES website
How to download, import, and prepare data from the NHANES website
Basic introduction to the analysis of complex survey data
Specifying the poststratification of survey data
Specifying the design of your survey data
Multilevel models for survey data in Stata
Survey data support for SEM in Stata
Survival analysis
Learn how to set up your data for survival analysis
How to describe and summarize survival data
How to construct life tables using Stata
How to calculate the Kaplan-Meier survivor and Nelson-Aalen cumulative hazard functions with Stata
How to graph survival curves using Stata
How to test the equality of survivor functions using nonparametric tests using Stata
How to calculate incidence rates and incidence-rate ratios using Stata
How to fit a Cox proportional hazards model and check proportional-hazards assumption with Stata
Multilevel survival analysis in Stata
Treatment effects for survival models in Stata
Panel-data survival models in Stata
Survival models for SEM in Stata
Time series
Tour of forecasting
Formatting and managing dates
Line graphs and tin()
Time-series operators
Correlograms and partial correlograms
Introduction to ARMA/ARIMA models
Moving-average smoothers
Using freduse to download time-series data from the Federal Reserve
Markov-switching models in Stata
Treatment effects
Tour of treatment effects
Introduction to treatment effects in Stata: Part 1
Introduction to treatment effects in Stata: Part 2
Treatment effects in Stata: Regression adjustment
Treatment effects in Stata: Inverse probability weights
Treatment effects in Stata: Inverse probability weights with regression adjustment
Treatment effects in Stata: Augmented inverse probability weights
Treatment effects in Stata: Nearest-neighbor matching
Treatment effects in Stata: Propensity-score matching
Treatment effects for survival models in Stata
Endogenous treatment effects in Stata
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