Contrasts
Analysis of main effects, simple effects, interaction effects, partial interaction effects, and nested effects
Comparisons against reference groups, of adjacent levels, or against the grand mean
Orthogonal polynomials
Helmert contrasts
Custom contrasts
ANOVA-style tests
Contrasts of nonlinear responses
Multiple-comparison adjustments
Balanced and unbalanced data
Contrasts in odds-ratio metric
Contrasts of means, intercepts, and slopes
Graphs of contrasts
Interaction plots
Watch Introduction to contrasts in Stata: Oneway ANOVA.
Pairwise comparisons
Compare estimated means, intercepts, and slopes
Compare marginal means, intercepts, and slopes
Balanced and unbalanced data
Nonlinear responses
Multiple-comparison adjustments: Bonferroni, Šidák, Scheffé, Tukey HSD, Duncan, and Student–Newman–Keuls adjustments
Group comparisons that are significant
Graphs of pairwise comparisons
Marginal analysis
Estimated marginal means
Marginal and partial effects
Average marginal and partial effects
Least-squares means
Predictive margins
Adjusted predictions, means, and effects
Works with multiple outcomes simultaneously
Contrasts of margins
Pairwise comparisons of margins
Profile plots
Graphs of margins and marginal effects
A single continuous variable
Interactions of categorical variables
Interactions of categorical and continuous variables
Interactions of two continuous variables
Additional resources
In the spotlight: How do you compare? Examining effects in multilevel models using contrasts
In the spotlight: Estimating, graphing, and interpreting interactions using margins
In the spotlight: Visualizing continuous-by-continuous interactions with margins and twoway contour