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Evidence-based diagnosis :an introduction to clinical epidemiology /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Evidence-based diagnosis :/ Thomas B. Newman, Michael A. Kohn ; illustrated by Martina A. Steurer.
其他題名:	an introduction to clinical epidemiology /
作者:	Newman, Thomas B.
其他作者:	Kohn, Michael A.
出版者:	Cambridge, U.K. ;Cambridge University Press, : c2020.,
版本:	2nd ed.
面頁冊數:	x, 371 p. :ill. (some col.) ; : 24 cm.;
提要註:	"This is a book about diagnostic testing. It is aimed primarily at clinicians, particularly those who are academically minded, but it should be helpful and accessible to anyone involved with selection, development, or marketing of diagnostic, screening, or prognostic tests. Although we admit to a love of mathematics, we have restrained ourselves and kept the math to a minimum - a little simple algebra and only three Greek letters, (kappa), (alpha), and (beta). Nonetheless, quantitative discussions in this book go deeper and are more rigorous than those typically found in introductory clinical epidemiology or evidence-based medicine texts"--
標題:	Diagnosis. -
ISBN:	9781108436717 (pbk.) :

Evidence-based diagnosis :an introduction to clinical epidemiology /
Newman, Thomas B.

Evidence-based diagnosis :an introduction to clinical epidemiology /Thomas B. Newman, Michael A. Kohn ; illustrated by Martina A. Steurer. - 2nd ed. - Cambridge, U.K. ;Cambridge University Press,c2020. - x, 371 p. :ill. (some col.) ;24 cm. - Cambridge medicine. - Cambridge medicine (Series).

Includes bibliographical references and index.

Introduciton : understanding diagnosis and diagnostic testing -- Dichotomous tests -- Multilevel and continuous tests -- Critical appraisal of studies of diagnostic test accuracy -- Reliability and measurement error -- Risk predictions -- Multiple tests and multivariable decision rules -- Quantifying treatment effects using randomized trials -- Alternatives to randomized trials for estimating treatment effects -- Screening tests -- Understanding P-values and confidence intervals -- Challenges for evidence-based diagnosis.

"This is a book about diagnostic testing. It is aimed primarily at clinicians, particularly those who are academically minded, but it should be helpful and accessible to anyone involved with selection, development, or marketing of diagnostic, screening, or prognostic tests. Although we admit to a love of mathematics, we have restrained ourselves and kept the math to a minimum - a little simple algebra and only three Greek letters, (kappa), (alpha), and (beta). Nonetheless, quantitative discussions in this book go deeper and are more rigorous than those typically found in introductory clinical epidemiology or evidence-based medicine texts"--

ISBN: 9781108436717 (pbk.) :NT1470

LCCN: 2019038304Subjects--Topical Terms:

218707
Diagnosis.
Index Terms--Genre/Form:

393324
Problems and Exercises.

LC Class. No.: RC71.3

Dewey Class. No.: 616.07/5

National Library of Medicine Call No.: WB 18.2

Evidence-based diagnosis :an introduction to clinical epidemiology /
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245 1 0 $a Evidence-based diagnosis : $b an introduction to clinical epidemiology / $c Thomas B. Newman, Michael A. Kohn ; illustrated by Martina A. Steurer.
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300 $a x, 371 p. : $b ill. (some col.) ; $c 24 cm.
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505 0 $a Introduciton : understanding diagnosis and diagnostic testing -- Dichotomous tests -- Multilevel and continuous tests -- Critical appraisal of studies of diagnostic test accuracy -- Reliability and measurement error -- Risk predictions -- Multiple tests and multivariable decision rules -- Quantifying treatment effects using randomized trials -- Alternatives to randomized trials for estimating treatment effects -- Screening tests -- Understanding P-values and confidence intervals -- Challenges for evidence-based diagnosis.
520 $a "This is a book about diagnostic testing. It is aimed primarily at clinicians, particularly those who are academically minded, but it should be helpful and accessible to anyone involved with selection, development, or marketing of diagnostic, screening, or prognostic tests. Although we admit to a love of mathematics, we have restrained ourselves and kept the math to a minimum - a little simple algebra and only three Greek letters, (kappa), (alpha), and (beta). Nonetheless, quantitative discussions in this book go deeper and are more rigorous than those typically found in introductory clinical epidemiology or evidence-based medicine texts"-- $c Provided by publisher.
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