My goal is to show you how to create your own customized tables and import them into your documents. You may prefer a different layout for your tables, and that is the point of this series of blog posts. The table below displays the odds ratio, standard error, z score, p-value, and 95% confidence interval for each covariate in our final model. We may also wish to display the results of our final regression model. The table below displays the odds ratios and standard errors for the covariates of three logistic regression models along with the AIC and BIC for each model. We may also wish to create a table to compare the results of several regression models. The table below reports the means for a group of continuous variables for participants without hypertension, with hypertension, the difference between the means, and the p-value for a t test. Sometimes, we wish to report a formal hypothesis test for a group of variables. These statistics are displayed for each category of hypertension and the entire sample. The table below reports means and standard deviations for continuous variables and shows frequencies and percentages for categorical variables. Most reports and papers begin with a table of descriptive statistics for the sample that is often subdivided by a categorical variable. The first example is a classic “table 1”. I’ll show you how to re-create these examples in future posts.

I want to show you a few examples before I show you how to create your own customizable tables. We even added a new manual to show you how to use this powerful and flexible system. We also developed an entirely new system that allows you to collect results from any Stata command, create custom table layouts and styles, save and use those layouts and styles, and export your tables to most popular document formats. We expanded the functionality of the table command.

Today, I’m going to begin a series of blog posts about customizable tables in Stata 17.

Stata 13 help