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 13**- Treatment effects
- Multilevel mixed-effects GLM
- Multilevel generalized SEM
- Power and sample size
- Forecasting
- Ordered logistic and probit for panel data
- Project Manager
- Long strings and BLOBs
- Effect sizes
- Factor variable labels to results
- Importing delimited data
- Saving estimation results to Excel

**Stata basics**- Quick tour of Stata interface
- Quick help in Stata
- PDF documentation in Stata
- Example data included with Stata
- How to download and install user-written commands in Stata

**Data management**- Copy/paste data from Excel into Stata
- Import Excel data into Stata
- Converting data to Stata with Stat/Transfer

**Factor variables**- The basics
- Interactions
- More interactions

**Graphics**- Bar graphs in Stata
- Box plots in Stata
- Basic scatterplots in Stata
- Histograms in Stata
- Pie charts in Stata
- Contour plots 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

**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

**Case–control studies**- Stratified analysis of case–control
- Odds ratios for case–control data

**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

**Multilevel mixed-effects models**- Introduction to multilevel linear models, part 1
- Introduction to multilevel linear models, part 2
- Tour of multilevel GLMs

**Power and sample size**- A conceptrual 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

**Treatment effects**- Introduction to treatment effects in Stata: Part 1
- 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

**Binary 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

**Time series**- 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 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

**Multiple imputation**- Setup, imputation, estimation—regression imputation
- Setup, imputation, estimation—predictive mean matching
- Setup, imputation, estimation—logistic regression

**Structural equation modeling**- SEM Builder 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 categorical and continuous variables
- Profile plots and interaction plots in Stata, part 5: Interactions of two continuous variables
- Introduction to contrasts in Stata: One-way ANOVA

**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