Comparison of More Than Two Groups and Test for Difference

In many clinical trials, more than two interventions are investigated simultaneously thus enabling a head-to-head comparison of different therapeutic options. This chapter provides sample size calculation methods for this situation and the cases of normal

  • PDF / 9,967,200 Bytes
  • 391 Pages / 453.543 x 683.15 pts Page_size
  • 29 Downloads / 237 Views

DOWNLOAD

REPORT


Meinhard Kieser

Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials

Springer Series in Pharmaceutical Statistics Series Editors Thomas Permutt, Walnut Creek, CA, USA José Pinheiro, Raritan, NJ, USA Frank Bretz, Basel, Switzerland Peter Müller, Austin, TX, USA

Recent advances in statistics have led to new concepts and solutions in different areas of pharmaceutical research and development. “Springer Series in Pharmaceutical Statistics” focuses on developments in pharmaceutical statistics and their practical applications in the industry. The main target groups are researchers in the pharmaceutical industry, regulatory agencies and members of the academic community working in the field of pharmaceutical statistics. In order to encourage exchanges between experts in the pharma industry working on the same problems from different perspectives, an additional goal of the series is to provide reference material for non-statisticians. The volumes will include the results of recent research conducted by the authors and adhere to high scholarly standards. Volumes focusing on software implementation (e.g. in SAS or R) are especially welcome. The book series covers different aspects of pharmaceutical research, such as drug discovery, development and production.

More information about this series at http://www.springer.com/series/15122

Meinhard Kieser

Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials

123

Meinhard Kieser Institute of Medical Biometry and Informatics University of Heidelberg Heidelberg, Baden-Württemberg, Germany

ISSN 2366-8695 ISSN 2366-8709 (electronic) Springer Series in Pharmaceutical Statistics ISBN 978-3-030-49527-5 ISBN 978-3-030-49528-2 (eBook) https://doi.org/10.1007/978-3-030-49528-2 Mathematics Subject Classification: 62P10 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in p

Data Loading...