MRGTBL2: Stata module to provide a margin-based approach to table 2 from a regression

The output from the mrgtbl2 command is based on margins from the regression model: outcome = constant + i.exposure[#i.by1][#i.by2] + adjustment variables. The user specifies the regression method as one of regress, cnsreg, mixed, glm, poisson, nbreg, logit, probit, cloglog, binreg, meprobit, melogit, mepoisson, menbreg, meglm, or mecloglog Margins calculates metrics, such as linear predictions, probabilities, or risk differences, based on a fitted model's response over a dataset where some or all covariates are fixed at specific values. Margins answers the question: "What does my model have to say about such-and-such scenario?" The scenario in mrgtbl2 is the standard table 2, including confounding by the option adjustments and stratification by the options by1 and by2. There is a conceptual and numerical relationship between the margins command and the Mantel–Haenszel method, as both tools are used to adjust for confounding factors and provide comparable estimates across stratified groups. In the absence of adjustments and stratifications, the output table is applicable for reporting in RCTs.