Posts

A non-technical friend recently asked me for help with a merge problem. They had two separate data pulls of electronic medical records based on specific study parameters. The set of people in the database who fit the study parameters changed in between the data pulls, for example by having people age into our out of a study, or by having new diagnoses added to their records that cause them to either be newly included or excluded.

In Chapter 3 of van Buuren’s Flexible Imputation of Missing Data a variety of methods for imputing univariate missing data are presented. This post will summarize these techniques and show how to implement them in SAS.

I love simple CLI tools and am a big fan of the Unix philosophy. Recently I came across The Dam, a public Unix server that implements a clever tool they termed suc - the Simple Unix Chat.

This post will introduce three GNU tools to help you explore your C code: ctags, cscope, and cflow. The first two can help you navigate your code as you work on it and can be used directly within Vim.

Last week we saw how to generate posterior samples using PROC MCMC for simple linear and logistic regression models. This week, I want to show how to sample regression lines from the data set returned by MCMC by plotting several sample regression linse on top of a scatter plot of the source data.

In this post I’ll show how to fit simple linear and logistic regression models using the MCMC procedure in SAS. Note that the point of this post is to show how the mathematical model is translated into PROC MCMC syntax and not to discuss the method itself.

The SAS Transport File Format (XPORT) is an open file format maintained by SAS for exchanging datasets. Its use is mandated by the FDA for data set submission for new drug or device applications and the CDC uses this format to distribute public data.

Today is tax day in the US. In celebration we’re going to take a look at some of the data available on the IRS Statistics page.

I have recently read Cal Newport’s book “Deep Work” (2016). Overall, it is a short but engaging read discussing his tips for how to spend more time doing intellectually focused and engaging work in a society whose attention and focus is ever more divided.

Andrew Gelman’s statmodeling blog recently contained a link to an interesting document by Jonas Lindeløv. It tries to explain various statistical tests in terms of linear models.