A very nice resource that talks about difference scores, relative change models, analysis of covariance, and repeated measures models. Continue reading

# Recommended: Applied Survival Analysis

Although the title says “Applied”, this book has a fair amount of mathematics in it, which helps you understand why certain approaches work well. The sample outputs for this book are reproduced in several different software programs at the UCLA Institute for Digital Research and Education. Continue reading

# Recommended: Interval regression | R data analysis examples

This page shows R code to handle the tricky data sets where the response is known to be inside some interval. Continue reading

# Recommended: Interval censored data analysis

Michael Fay gave a short course on interval censored data at the 2010 useR! meeting. The slides from this short course provide a nice overview of the complexities of this type of data. Continue reading

# Recommended: Adjusted survival curves

This is a nice overview of how to use R to adjust survival curves in an observational study. It covers weighting and modeling with covariates and criticizes several approaches. Continue reading

# PMean: What are we doing to justify all that time we’re budgeting?

An email discussion about the appropriate percentage effort on research grants has produced a lot of interesting discussions. One person raised an interesting question. The typical data analysis, he claimed, might involve a few hours reviewing the input data set, a few hours conducting the analysis and a few hours preparing a statistical summary, but even after a generous estimate of the work at each of the time points, he could only come up with 22 hours of effort, which corresponds roughly with a 1% FTE. I wrote back describing some of the things that might occur before the data analysis that might add time to this effort. Continue reading

# Recommended: Reproducible research with Stata

This outlines a way to produce “beautiful Beamer presentations” using Stata. This is a step towards the goal of reproducible research. Continue reading

# Recommended: beepr: easily play notification sounds on any platform

This package was mentioned at the most recent meeting of the Kansas City R Users Group and was too cute not to mention. Continue reading

# PMean: Some interesting quality improvement resources

I attended a conference on quality and patient safety, and some of the speakers mentioned some interesting resources. I googled them and saved the links here. Continue reading

# PMean: Draft policy on statistical support for research

I am drafting up a policy on statistical support for research at my part-time job at UMKC. It is loosely based on standards at the University of California, Davis and Kansas University Medical Center. An early draft appears below. I’ve gotten some suggestions that setting a minimum percentage effort is a bad idea. What do you think?