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Statistical remedies for medical res...

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Statistical remedies for medical researchers

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical remedies for medical researchersby Peter F. Thall.
Author:	Thall, Peter F.
Published:	Cham :Springer International Publishing :2020.
Description:	xi, 291 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	MedicineResearch
Online resource:	https://doi.org/10.1007/978-3-030-43714-5
ISBN:	9783030437145$q(electronic bk.)

Statistical remedies for medical researchers
Thall, Peter F.

Statistical remedies for medical researchers[electronic resource] /by Peter F. Thall. - Cham :Springer International Publishing :2020. - xi, 291 p. :ill., digital ;24 cm. - Springer series in pharmaceutical statistics,2366-8695. - Springer series in pharmaceutical statistics..

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.

ISBN: 9783030437145$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43714-5doiSubjects--Topical Terms:

182670
Medicine
--Research

LC Class. No.: R853.S7 / T435 2020

Dewey Class. No.: 610.727

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245 1 0 $a Statistical remedies for medical researchers $h [electronic resource] / $c by Peter F. Thall.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 291 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in pharmaceutical statistics, $x 2366-8695
505 0 $a 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.
520 $a 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.
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