Encyclopaedic Companion to Medical Statistics - Brian S. Everitt

Encyclopaedic Companion to Medical Statistics

By: Brian S. Everitt (Editor), Christopher R. Palmer (Editor), Robert Horton (Foreword by)

Hardcover | 17 December 2010 | Edition Number 2

At a Glance

Hardcover


$142.95

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"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.

Industry Reviews

?I would happily recommend this book to all medical libraries ? Public libraries should try to counteract this, in the interests of public health and safety, and might find this book to be a useful back-up tool for the purpose, though it is really designed for a more specialised readership.?  (Reference Reviews Journal, 2011)

"About 400 entries, updated and revised for this edition, are provided, including 30 new ones, ranging from active control equivalence studies to multiple linear regression to z-score." (Booknews, 1 April 2011)

 

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