This list starts out with a data set of 216,930 previous Jeopardy questions and goes from there. Not everything suggested is easily amenable for statistical analysis, but the list is extremely interesting and diverse. In particular, this list is very helpful for anyone interested in text data. Continue reading
This is a wonderful site, but for some reason, it is difficult to find. The Institute for Digital Research and Education (IDRE) at UCLA has put together some wonderful resources on how to do simple data analyses in R, SAS, SPSS, and Stata. The examples cover just about everything you’d ever want to do in any of these statistical packages. If you are making a transition from one statistical package to another, this site offers you the opportunity to see how things are done in the package you know well and compare it to how things are done in the package you are learning. Of special note are the worked textbook examples from many classic statistics textbooks. Continue reading
If you are designing a systematic overview, you should talk to a statistician early in the process. There are lots of little things that you can do to make your research more rigorous. Here is a broad overview of these issues. Continue reading
Dates in R, like dates in any other software package, are tricky to work with. Here’s a nice guide that will help you get started. Continue reading
If you are designing a retrospective chart review, you should talk to a statistician early in the process. There are lots of statistical issues that you must think about during the concept development phase of your research. Here is a broad overview of these issues. Continue reading
I got an email asking for a recommendation for an introductory book on Bayesian Statistics from someone who recently graduated from our program. It’s kind of a difficult request because the mathematical demands needed to understand Bayesian statistics are not trivial. Here’s what I recommended. Continue reading
This article has good general advice about how to run a statistical analysis, such as Rule 1: Statistical Methods Should Enable Data to Answer Scientific Questions.
I will be teaching a one semester hour class at UMKC, Introduction to R (MEDB 5505) on Monday, August 8, 2016 through Friday, August 12, 2016. It runs from 9am to noon on all five days. This is part of a series of classes that cover a basic introduction to statistical packages: data import, data management, simple graphs, and simple descriptive statistics. The other classes (MEDB 5506 and MEDB 5507) cover SPSS and SAS.
Here are some details about this class. Continue reading