{smcl} {* 16may2025}{...} {title:Title} {p 4 4 2}{hi:myreg2} {hline 2} Export formatted regression table to a Word document (Table 2) {title:Table of contents} {help myreg2##syn:Syntax} {help myreg2##des:Description} {help myreg2##opt:Options} {help myreg2##exa:Examples} {marker syn} {title:Syntax} myreg2 [varname] [, all dp(#) cilimiter(str) title(str) notes(str) model(str) pvalue constant export(str)] {marker des} {title:Description} {p 4 4 2} {cmd:myreg2} exports regression results to a Word document after the collection command in Stata 17. It is designed for creating tables formatted like Table 2 in epidemiological journals. The command combines regression results for a sepcific exposure variable or all variables from multiple models into a single Table. {marker opt} {title:Options} {marker main} {dlgtab:Main} {p 4 8 2} {cmd:dp(}{it:{help myreg2##fmt:fmt}}{cmd:)} sets the number of decimal points for coef(95%CI). The default format is 2. {p 4 8 2} {cmd:ci(}{it:{help myreg2##fmt:str}}{cmd:)} sets the delimiter for 95%CI. The default format is -. Common choice can be ci(","), or ci(" to "). {p 4 8 2} {cmd:model(}{it:{help myreg2##fmt:str}}{cmd:)} names each model The default format is Model 1; Model 2; Model3. Other option can be something like model("Unadjusted" "SES adjusted" "Full model"). {p 4 8 2} {cmd:pval} requests p values to be shown. When p value is less than 0.001, it will be shown as p<0.001 instead of the exact number. {p 4 8 2} {cmd:constant} requests constant to be shown. By default, constant is not shown. {p 4 8 2} {cmd:all} requests all variables (covariates) in the models to be reported. {p 4 8 2} {cmd:note(}{it:{help myreg2##fmt:str}}{cmd:)} provides notes to the table. {p 4 8 2} {cmd:export(}{it:{help myreg2##fmt:str}}{cmd:)} saves table to a word document with option of replace or append. example: export(table2.docx,replace) {marker exa} {title:Examples} {p 4 4 2} The following examples are intended to illustrate the basic usage of {cmd:myreg2}. {com}. webuse lbw {txt}(Low birth weight data by Hosmer & Lemeshow) {com}. collect clear {txt}(clear stored results) {com}. collect: quietly logistic low i.smoke {txt}(first model results stored) {com}. collect: quietly logistic low i.smoke i.race age {txt}(second model results stored) {com}. myreg2 i.smoke {txt}(combine results of smoking on low birth weight based two logistic regression models) {com}. myreg2 i.smoke,model("Unadjusted" "Adjusted") export(table2.docx,replace) {txt}(save resutls to word document table2.docx) {com}. myreg2 i.smoke,dp(2) ci(" to ") pval all {txt}(results shown as 2 decimal points, 95%CI in the format of 95%CI(1.08 to 3.74), report all variables) {com}. myreg2 i.smoke,dp(2) ci(" to ") pval all export(table2.docx,append) {txt}(export results to table2.docx and append) {marker aut} {title:Author} {p 4 4 2} Professor Zumin Shi, Department of Nutrition Sciences, Qatar University, zumin.shi@gmail.com {marker als} {title:Also see} Manual: {hi:[R] estimates} {p 4 13 2}Online: help for {helpb epitable2}, {helpb epitable3} {p_end}