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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 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
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
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
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 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
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