Encyclopaedic Companion to Medical Statistics

The Encyclopaedic Companion to Medical Statistics, contains a readable accounts of almost 400 statistical topics central to current medical research. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries, and extensive cross-referencing signposts the reader to related entries.This edition includes recent developments and new topics which include: Genomewide association studies, Multivariate and multivariable analysis, Multiple testing, False discovery rates, Life expectancy, Causal effects (direct and indirect), Mendelian randomisation, G-estimation, Sample size reestimation, Seamless phase II/III trials, Biomarker validation, Surrogate outcomes, Mediation, Principal stratification, Regulatory statistical matters, League tables, Propensity score, Inverse probability weighting Quantile/percentile/centile, LMS method, Common errors in statistical analyses in medicine, Variance stabilization, Bioconductor, Non-linear models, Marginal structural models, publication bias, Paradoxes, Missing data, Multi-state models, Support vector machines, Random forests, Lasso and Surrogate endpoints.

Brian Everitt, Head of Biostatistics and Computing Department and Professor of Behavioural Statistics, Kings College London. He? has authored/co-authored over 50 books on statistics and approximately 100 papers and other articles, and is also joint editor of Statistical Methods in Medical Research.

Christopher R. Palmer, Director of the Centre for Applied Medical Statistics, University of Cambridge.