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＜電子ブック＞
Statistical Remedies for Medical Researchers / by Peter F. Thall
(Springer Series in Pharmaceutical Statistics. ISSN:23668709)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	XI, 291 p. 42 illus., 12 illus. in color : online resource
著者標目	*Thall, Peter F author SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Pharmacovigilance LCSH:Pharmaceutical chemistry LCSH:Statistics  FREE:Biostatistics FREE:Drug Safety and Pharmacovigilance FREE:Pharmaceutics FREE:Bayesian Inference FREE:Statistical Theory and Methods
一般注記	1 Why Bother With Statistics? -- 2 Frequentists and Bayesians -- 3 Knocking Down the Straw Man -- 4 Science and Belief -- 5 The Perils of P-values -- 6 Flipping Coins -- 7 All Mixed Up -- 8 Sex, Biomarkers, and Paradoxes -- 9 Crippling New Treatments -- 10 Just Plain Wrong -- 11 Getting Personal -- 12 Multistage Treatment Regimes -- References This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious. For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book accessible to non-statisticians. At the same time, since many of the examples describe methods used routinely by medical statisticians with formal statistical training, the book appeals to a broad readership in the medical research community HTTP:URL=https://doi.org/10.1007/978-3-030-43714-5

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