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Bioinformatics and Statistics Resources: Reading

Information and resources on bioinformatics and statistics for the UCSF research community


An introduction to statistical analysis in research by Kathleen Weaver et al.




Regression Methods in Biostatistics Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff et al.

The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

Data Analysis with R by Tony Fischetti

Blogs, Forums, Q&A, Etc.

Cross Validated

"Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization."

Nature's Statistics for Biologists Collections

"This collection highlights important statistical issues that biologists should be aware of and provides practical advice to help them improve the rigor of their work."


"Significance is a bimonthly magazine for anyone interested in statistics and the analysis and interpretation of data. Its aim is to communicate and demonstrate in an entertaining, thought-provoking and non-technical way the practical use of statistics in all walks of life and to show informatively and authoritatively how statistics benefit society."

Simply Statistics

"A statistics blog by Rafa Irizarry, Roger Peng, and Jeff Leek." ... "We’ll be posting ideas we find interesting, contributing to discussion of science/popular writing, linking to articles that inspire us, and sharing advice with up-and-coming statisticians."