Articles

Predictions and graphs: Predictions from each model and their differences: Figures 3 to 6 of Mize, Doan, and Long (2019).

Regression tables and coefficient plots: Tables and coefficient plots of coefficients and marginal effects across models with modelsummary.

Curvilinear effects and mediation/attenuation: Example 6.1 of Mize, Doan, and Long (2019).
Nested logit models and mediation/attenuation: Example 6.2 of Mize, Doan, and Long (2019).
Alternative predictors: Example 6.3 of Mize, Doan, and Long (2019).
Different outcomes: Example 6.4 of Mize, Doan, and Long (2019).
Different model types: Example 6.5 of Mize, Doan, and Long (2019): ordinal versus nominal.
Separate samples or groups: Example 6.6 of Mize, Doan, and Long (2019).

Group comparisons: Section 4.2 of Mize and Han (forthcoming): separate models for each group.
Multilevel models: Students nested in schools, and women nested in districts: mixed-effects logit and probit.
Panel models: Repeated observations of the same people: random-effects logits and fixed-effects regressions for two outcomes.
Within-person effects: Correlated random effects (Mundlak) logits: the within-person effect compared with the random-effects estimate.
Instrumental-variable models: Comparing effects across two-stage least squares models with different instruments.

Notes on specific models: Settings and limits for a few of the supported models, and what to use for Stata models without an R version.