Dr. Kaltenbach is a Senior Scientist at the ETH Zurich, Switzerland. He holds a diploma in mathematics and a PhD in bioinformatics and previously worked in industry as a statistical consultant. His research combines statistics and applied mathematics in the context of biology and medicine. He is the author of A Concise Guide to Statistics (2012) and has extensive experience in teaching and consulting on experimental design and statistical analysis in biological and biomedical sciences.
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Statistical Design and Analysis of Biological Experiments
Hans-Michael Kaltenbach
Principles of Experimental Design.- Review of Statistical Concepts.- Planning for Precision and Power.- Comparing More than Two Groups.- Hasse Diagrams and Linear Model Specification.- Comparing Treatment Groups with Linear Contrasts.- Multiple Treatment Factors: Factorial Designs.- Improving Precision and Power: Blocked Designs.- Concomitant Measurements and Covariates.- Split-Unit Designs.- Many Treatment Factors: Fractional Factorial Designs.- Experimental Optimization with Response Surface Methods.- References.- Index.
