For Causal Analysis of Competing Risks, Don’t Use Fine & Gray’s Subdistribution Method
Competing risks are common in the analysis of event time data. The classic example is death, with distinctions among different kinds...
Mar 24, 2018
Using “Between-Within” Models to Estimate Contextual Effects
In my courses and books on longitudinal data analysis, I spend a lot of time talking about the between-within model for...
Jul 26, 2017
The Peculiarities of Missing at Random
I thought I knew what it meant for data to be missing at random. After all, I’ve written a book titled...
Jun 06, 2017
In Defense of Logit – Part 2
In my last post, I explained several reasons why I prefer logistic regression over a linear probability model estimated by ordinary...
Apr 27, 2017
In Defense of Logit – Part 1
In a recent guest blog, Paul von Hippel extended his earlier argument that there are many situations in which a linear...
Mar 28, 2017
When Can You Fit a Linear Probability Model? More Often Than You Think
In July 2015 I pointed out some advantages of the linear probability model over the logistic model. The linear model is...
Mar 08, 2017
Causal Mediation Analysis
On April 21-22, 2017, I will be offering a seminar on causal mediation analysis in Philadelphia with Statistical Horizons. The course...
Mar 06, 2017
Teaching Stata in Bangladesh
When Paul Allison asked me if I wanted to teach a course in Bangladesh, my first reaction was confusion. Other than...
Sep 18, 2015
Linear vs. Logistic Probability Models: Which is Better, and When?
In his April 1 post, Paul Allison pointed out several attractive properties of the logistic regression model. But he neglected to consider...
Jul 05, 2015
Don’t Put Lagged Dependent Variables in Mixed Models
When estimating regression models for longitudinal panel data, many researchers include a lagged value of the dependent variable as a predictor....
Jun 02, 2015
Maximum Likelihood is Better than Multiple Imputation: Part II
In my July 2012 post, I argued that maximum likelihood (ML) has several advantages over multiple imputation (MI) for handling missing data:...
May 05, 2015
What’s So Special About Logit?
For the analysis of binary data, logistic regression dominates all other methods in both the social and biomedical sciences. It wasn’t...
Apr 01, 2015