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
This outlines a way to produce “beautiful Beamer presentations” using Stata. This is a step towards the goal of reproducible research. Continue reading
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
This article talks about how bad the maternal mortality rates are in the United States and how bad our effort to try to quantify the rate is. Continue reading
This is a classic data set for testing out image analysis. You have a data set of 25,000 images which are labelled dogs or cats. This is easy for a human to do, but can you develop an algorithm that can tell the difference? Continue reading
If you are interested in text mining, this is a good data set to start with. It is a bunch of text messages, each one line long, that have been classified by a human as either spam or ham (ham is a legitimate message). Continue reading
This xkcd cartoon by Scott Munro is open source, so I can hotlink the image directly. But if you go to the source, https://xkcd.com/327/, be sure to hover over the image for a second punch line.
I’m ginvg a talk about i2b2 (among other things) and when browsing through their website, I cam across an interesting project, SHRINE. This is an acronym for Shared health Research Informatics NEtwork., and represents a way of allowing users to review information across multiple i2b2 sites. It requires the individual institutions who have i2b2 systems to cooperate with one another, which is not always easy. But this has tremendous potential. Continue reading
This xkcd cartoon by Scott Munro is open source, so I can hotlink the image directly. But if you go to the source, https://xkcd.com/1179/, be sure to hover over the image for a second punch line.
I’ve been using a version of LaTeX (MikTeX) for a couple of years, and it’s not bad. But when I heard about Yihui Xie’s R package, tinytex, I jumped at the opportunity to try it. Dr. Xie is the author of knitr, a package that makes it easy to create well documented R programs where the code and the output are gracefully merged. He created this new package, tinytex, because he felt that the current versions of LaTex had complex installation processes and forced you to choose between a minimal installation that couldn’t do anything useful and a full installation that was bloated with features you’d never use. I can’t say too much about the package yet except that he is right in that it is very easy to install. If I find out more, I’ll let you know. Continue reading