A. Gouveia Oliveira - Biostatistics Decoded

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Second Edition

A. Gouveia Oliveira

Pharmacy Department

Federal University of Rio Grande do Norte

Natal, Brazil

This edition first published 2020

© 2020 John Wiley & Sons Ltd

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of A. Gouveia Oliveira to be identified as the author of this work has been asserted in accordance with law.

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Library of Congress Cataloging-in-Publication Data

Names: Oliveira, A. Gouveia, author.

Title: Biostatistics Decoded / A. Gouveia Oliveira.

Description: Second edition. | Hoboken, NJ : Wiley, 2020. | Includes bibliographical references and index.

Identifiers: LCCN 2020017017 (print) | LCCN 2020017018 (ebook) | ISBN 9781119584209 (cloth) | ISBN 9781119584315 (adobe pdf) | ISBN 9781119584285 (epub)

Subjects: MESH: Biostatistics

Classification: LCC R853.S7 (print) | LCC R853.S7 (ebook) | NLM WA 950 | DDC 610.72/7--dc23

LC record available at https://lccn.loc.gov/2020017017LC ebook record available at https://lccn.loc.gov/2020017018

Cover Design: Wiley

Cover Images: Ultrasound Monitor © Belish/Shutterstock, Iris Pairs Plot © Wikimedia Commons, Graph © Wiley

In this second edition of Biostatistics Decoded , the style of presentation of the concepts and methods follows the same approach as in the first edition. Thus, the main features of easy mathematics requiring knowledge of little more than the basic arithmetic operations, emphasis on the explanation of the foundations of statistical concepts and on the rationale of statistical methods, and profuse illustration with working examples in a detailed step‐by‐step presentation of the statistical calculations adopted in the first edition are all present in this second edition.

Also, in keeping with the format of the first edition, this book is written at two levels of difficulty. Readers who only wish to understand the rationale of the statistical methods may read only the plain text, without loss of continuity, while those readers who want to understand how the calculations are done should also read the text boxes.

A great deal of new content has been included in this second edition. While the first edition was focused almost entirely on epidemiological and clinical research, in this edition several chapters covering experimental designs used in basic science research are introduced. Several important topics on study designs are also included, such as quasi‐experimental designs, pragmatic clinical trials, new designs of randomized controlled trials, and cluster randomized trials. Additions in statistical methods include not only an extensive discussion of methods based on the analysis of variance, but also an introduction to methods that are gaining great importance in data analysis, such as generalized linear models. The sections on observational studies have been expanded to better explain the various designs available and the estimates they produce. The chapter on meta‐analysis was also developed further.

The changes to the first edition are not limited to the addition of new content. The structure of the book was reorganized according to research types, with the statistical methods used in each type of research presented immediately after the discussion of the main research designs. This chapter organization contrasts with the typical organization of most statistical textbooks, where the presentation of statistical methods is often organized first in basic concepts and applied methods, and then according to the types of variables. The organization in this book seems more relevant to practicing researchers, or professionals looking to expand their knowledge of statistical methods in a specific problem area.