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
- Introduction to Bayesian analysis, part 1: The basic concepts
- Introduction to Bayesian analysis, part 2: MCMC and the Metropolis-Hastings algorithm

**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
- Item response theory using Stata: One-parameter logistic (1PL) models
- Item response theory using Stata: Two-parameter logistic (2PL) models
- Item response theory using Stata: Three-parameter logistic (3PL) models
- Item response theory using Stata: Nominal response (NRM) models
- Item response theory using Stata: Rating scale (RSM) models
- Item response theory using Stata: Graded response (GRM) models

**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

**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 weighting
- Treatment effects in Stata: Inverse-probability weighted regression adjustment
- Treatment effects in Stata: Augmented inverse-probability weighting
- 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