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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)

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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電子ブック オンライン 電子ブック

Springer eBooks 9783030437145
電子リソース
EB00237108

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データ種別 電子ブック
分 類 LCC:QH323.5
DC23:57,015,195
書誌ID 4000134731
ISBN 9783030437145

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