Welcome to the Department of Biostatistics!

Here are some useful resources for you to learn about R, Sweave/LaTeX, longitudinal data analysis, survival analysis and more:

R

1. The R project homepage

2. The R Clinic every Thursday 2-3pm

3. An Introduction to the Fundamentals & Functionality of the R Language: Theresa Scott

4. The Hmisc package

5. The Design package

6. Peter Dalgaard's book, INTRODUCTORY STATISTICS WITH R. This is a good introductory reference for R.

Linux

1. Using Linux More Efficiently LinuxUserEfficient

2. Linux Links LinuxLinks

3. Linux Workshops LinuxWorkshops

4. Computing Clinic on the 1st Tuesday of each month at 9am in the Biostatistics Conference Room: D-2221 MCN ComputingClinic

5. An overview of the commands and tools needed within our Linux environment BiostatUserOrientation

Sweave and LaTeX

Sweave and Latex

Note: The above links include:

1. Useful tutorials such as the "Not So Short Intro to LaTeX"

2. Multiple Sweave/Latex templates both for reports and for presentations.

Longitudinal Data Analysis

1. Applied Longitudinal Analysis

Clinical Research

1. DESIGNING CLINICAL RESEARCH, Stephen B. Hulley, et al. This is an excellent reference of basic terminology for clinical research.

Survival Analysis

1. MODELING SURVIVAL DATA: EXTENDING THE COX MODEL, Terry Therneau, Patricia Grambsch.

2. THE STATISTICAL ANALYSIS OF FAILURE TIME DATA, John D. Kalbfleisch, Ross L. Prentice.

Recommended reading

1. Frank Harrell's book, REGRESSION MODELING STRATEGIES, and some of his short courses: RmS

2. Essential Medical Statistics

3. Statistics Notes in the British Medical Journal

4. The Little Handbook of Statistical Practice

5. Statistical Problems to Document and to Avoid: Manuscript Checklist

6. Some other interesting papers: Recommended Reading