Textbooks

Leonhard Held

Torsten Hothorn

See personal webpage

Recommended Textbooks

Preparing the necessary R skills we recommend to work through (at least) chapters 1-6 of
Hothorn, T. and Everitt, B.S. (2009). A Handbook of Statistical Analyses Using R

Books for the prerequisites (for each subtopic one is sufficient):

Analysis:
Thompson, S. P. and Gardner, M. (1998). Calculus Made Easy.
Trench, W.F. (2013). Introduction to Real Analysis
aimath.org/textbooks/approved-textbooks/trench/

Linear algebra:
Anton, H. and Rorres, C. (2005). Elementary Linear Algebra. Applications Version.
Strang, G. (2005). Introduction to linear algebra.
Beezer, R. (2012). A First Course in Linear Algebra
aimath.org/textbooks/approved-textbooks/beezer/

Statistics:
Devore, J. L. and Berk, K.N. (2011). Modern Mathematical Statistics with Applications
Rice, J. (2006). Mathematical Statistics and Data Analysis

Probability:
Grimmett, G. and Stirzaker, D. (2001). Probability and Random Processes.



Textbooks for the compulsory lectures of the program:
STA404
Matthews, J. N. S. (2006). Introduction to Randomized Controlled Clinical Trials.
Pepe, M. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction.

STA408
Jewell, N. P. (2004): Statistics for Epidemiology.