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
- Tour of multilevel GLMs
- 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
- Stata's Expression Builder

**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
- Stata's Expression Builder

**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 data
- 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

**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

**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

**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

**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

**Econometrics**- Instrumental variables regression using Stata

**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

**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 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

**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