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Master Program in Biostatistics

Textbooks and scripts

Reinhard Furrer

Script for the lecture STA120 Introduction to statistics

Script for the lecture STA121 Statistical Modeling

Script for the lecture STA330 Modeling Dependent Data

 

 

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:
STA402
Sabanés Bové, D., Held, L. (2014). Applied Statistical Inference

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.

STA406
Fahrmeir, L., Kneib, T. and Lang, S. (2013) Regression: Models, Methods and Applications
Tutz, G. (20012). Regression for Categorical Data

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