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Biostatistics Decoded, Second Edition

Autor AG Oliveira
en Limba Engleză Hardback – 7 oct 2020
Biostatistics Decoded covered a large number of statistical methods that are mainly applied to clinical and epidemiological research, as well as a comprehensive discussion of study designs for observational research and clinical trials, two important concerns for the clinical researcher. In this second edition, new material is included covering statistical methods and study designs that are used to analyse research. Following the same methodology used in the first edition, the chapters are presented in two levels of detail, one for the reader who wishes only to understand the rationale behind each statistical method, and one for the reader who wishes to understand the computations Key features include: * Extensive coverage of the design and analysis of experiments for basic science research * Experimental designs are presented together with the statistical methods * The rationale of all forms of ANOVA is explained with simple mathematics * A comprehensive presentation of statistical tests for multiple comparisons * Calculations for all statistical methods are illustrated with examples and explained step-by-step. This book presents biostatistical concepts and methods in a way that is accessible to anyone, regardless of his or her knowledge of mathematics. The topics selected for this book cover will meet the needs of clinical professionals to readers in basic science research.
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Specificații

ISBN-13: 9781119584209
ISBN-10: 1119584205
Pagini: 480
Dimensiuni: 178 x 250 x 32 mm
Greutate: 1 kg
Ediția:2nd Edition
Editura: Wiley
Locul publicării:Chichester, United Kingdom

Notă biografică

A. GOUVEIA OLIVEIRA is a M.D. with a PhD in Biostatistics from the University of Lisbon, Portugal. For the last 20 years, he has been dedicated to clinical and basic research. He was the founder and CEO of Datamedica, a full-service Contract Research Organization based in Lisbon, Portugal, where he designed, conducted and analyzed a large number of epidemiologic studies and clinical trials for all the major pharmaceutical companies. He was Associate Professor of Biomedical Informatics at the Medical University of South Carolina, USA, and currently Associate Professor of Biostatistics in the Pharmaceutical Sciences Department of the Federal University of Rio Grande do Norte in Natal, Brazil. He is the author or co-author of over 100 papers published in leading scientific journals.

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