Stata Press is pleased to announce the release of * Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Fourth Edition* by Sophia Rabe-Hesketh and Anders Skrondal. This book debuted on the top 10 list for Kindle’s new releases for Probability & Statistics and consistently stayed there for weeks. This book was also on the top 10 list for Kindle’s new releases in Mathematics, competing with many other books. Read more…

Categories: New Books, New Products, Resources Tags: anders, binary, biostatics, continuous responses, count, cross-effects, dynamic models, fixed-effects, forthcoming, fourth, growth-curve models, Kenward-Roger, longitudinal data, longitudinal modeling, marginal models, mixed-effects, multilevel data, multilevel modeling, ordinal, rabe, rabe-hesketh, random effects, release, skrondal, sophia, Stata 17, stata press, statistics, survival-time, teach, teaching
Stata Press is pleased to announce the release of *An Introduction to Stata for Health Researchers, Fifth Edition*, by Svend Juul and Morten Frydenberg. This book debuted at #1 on Kindle’s new release list for Probability & Statistics and debuted on the top ten list on Kindle’s new release list for Mathematics. Read more…

Categories: New Books, New Products, Resources Tags: 5th, biostatistics, books, data management, datasets, epidemiology, fifth edition, forthcoming, Frydenberg, health policy, health research, health researchers, ICD-10, ICD-9, introduction, Juul, Morton, power, precision, public health, sample-size analysis, Stata 17, stata press, Svend, tables, textbook, unicode
In Customizable tables in Stata 17, part 5, I showed you how to use the new and improved **table** command to create a table of results from a logistic regression model. We are likely to create many more tables of regression results, and we will probably use the same style and labels. In this post, I will show you how to save your styles and labels so that you can use them to format future tables. I will use the Microsoft Word document that we created in part 5 as our goal. Read more…

In my last post, I showed you how to create a table of statistical tests using the **command()** option in the new and improved **table** command. In this post, I will show you how to gather information and create tables using the new **collect** suite of commands. Our goal is to fit three logistic regression models and create the table in the Adobe PDF document below. Read more…

In my last post, I showed you how to use the new and improved **table** command with the **command()** option to create a table of statistical tests. In this post, I want to show you how to use the **command()** option to create a table for a single regression model. Our goal is to create the table in the Microsoft Word document below. Read more…

In my last post, I showed you how to use the new and improved **table** command with the **statistic()** option to create a classic table 1. In this post, I want to show you how to use the **command()** option to create a table of statistical tests. Our goal is to create the table in the Microsoft Word document below. Read more…

In our last four posts in this series, we showed you how to calculate power for a *t* test using Monte Carlo simulations, how to integrate your simulations into Stata’s **power** command, and how to do this for linear and logistic regression models and multilevel models. In today’s post, I’m going to show you how to estimate power for structural equation models (SEM) using simulations.

Our goal is to write a program that will calculate power for a given SEM at different sample sizes. We’ll follow the same general procedure as the previous two posts, but the way we’ll go about simulating data is a bit different. Rather than individually simulating each variable for our specified model, we’ll be simulating all our variables simultaneously from a given covariance matrix. Means for each of the variables can also be used to simulate the data if your SEM has a mean structure, such as in group analysis or growth curve analysis. Read more…

In my last two posts, I showed you how to use the new-and-improved **table** command to create a table and how to use the **collect** commands to customize and export the table. In this post, I want to show you how to use these tools to create a table of descriptive statistics that is often called a “classic table 1”. Our goal is to create the table in the Microsoft Word document below. Read more…

In my last post, I showed you how to use the new-and-improved **table** command to create a table and how to use some of the options to customize the table. In this post I want to introduce the **collect** commands. Many Stata commands begin with **collect**, and they can be used to create collections, customize table layouts, format the numbers in the tables, and export tables to documents. There are so many new **collect** commands that we created a new *Customizable Tables and Collected Results Reference Manual*. Today, I want to show you how to use some of the **collect** commands to customize the look of your tables. I will show you more advanced uses of **collect** in future posts. Read more…

Today, I’m going to begin a series of blog posts about customizable tables in Stata 17. We expanded the functionality of the **table** command. 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 even added a new manual to show you how to use this powerful and flexible system. Read more…