Strategy and Statistics in Clinical Trials

• Author : Joseph Tal
• Publisher : Academic Press
• Release : 06 July 2022

Strategy and Statistics in Clinical Trials is for all individuals engaged in clinical research, including professors, physicians, researchers in corporate and government laboratories, nurses, members of the allied health professions, and post-doctoral and graduate students who are potentially less exposed to understanding the pivotal role of statistics. . Enables nonstatisticians to better understand research processes and statistics' role in these processes . Offers real-life case studies and provides a practical, "how to" guide to biomedical R&D . Delineates the statistical building blocks

• Author : Joseph Tal
• Publisher : Academic Press
• Release : 26 June 2011

Strategy and Statistics in Clinical Trials deals with the research processes and the role of statistics in these processes. The book offers real-life case studies and provides a practical, how to guide to biomedical R&D. It describes the statistical building blocks and concepts of clinical trials and promotes effective cooperation between statisticians and important other parties. The discussion is organized around 15 chapters. After providing an overview of clinical development and statistics, the book explores questions when planning clinical trials,

• Author : Mark Chang,John Balser,Jim Roach,Robin Bliss
• Publisher : CRC Press
• Release : 29 March 2019

"This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to

• Author : Joseph Tal
• Publisher : Unknown
• Release : 06 July 2022

Strategy and Statistics in Clinical Trials is for all individuals engaged in clinical research, including professors, physicians, researchers in corporate and government laboratories, nurses, members of the allied health professions, and post-doctoral and graduate students who are potentially less exposed to understanding the pivotal role of statistics. • Enables nonstatisticians to better understand research processes and statistics' role in these processes • Offers real-life case studies and provides a practical, "how to" guide to biomedical R&D • Delineates the statistical building blocks

• Author : John Crowley,Antje Hoering,Donna Ankerst
• Publisher : CRC Press
• Release : 01 December 2005

A compendium of cutting-edge statistical approaches to solving problems in clinical oncology, Handbook of Statistics in Clinical Oncology, Second Edition focuses on clinical trials in phases I, II, and III, proteomic and genomic studies, complementary outcomes and exploratory methods. Cancer Forum called the first edition a

• Author : Mark X. Norleans
• Publisher : CRC Press
• Release : 08 November 2000

"Summarizes graphical analysis, analysis of variance, meta-analysis, and design of comparable treatment groups. Streamlines the analytical techniques for continuous, categorical, longitudinal, and survival data-focusing on generalized linear models, GEEs, and mixed linear models, -ahd highlihgts p-value, and more."

• Author : Shein-Chung Chow
• Publisher : CRC Press
• Release : 19 April 2016

In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good clinical practice. But by identifying the causes of the issues and correcting them, the study objectives of clinical trials can be better achieved. Controversial Statistical Issues in Clinical Trials covers commonly encountered controversial statistical issues in clinical trials and, whenever possible, makes recommendations to resolve these problems. The book focuses on issues occurring at various stages of clinical research and development,

• Author : Zhen Chen,Aiyi Liu,Yongming Qu,Larry Tang,Naitee Ting,Yi Tsong
• Publisher : Springer
• Release : 04 May 2015

This volume is a unique combination of papers that cover critical topics in biostatistics from academic, government, and industry perspectives. The 6 sections cover Bayesian methods in biomedical research; Diagnostic medicine and classification; Innovative Clinical Trials Design; Modelling and Data Analysis; Personalized Medicine; and Statistical Genomics. The real world applications are in clinical trials, diagnostic medicine and genetics. The peer-reviewed contributions were solicited and selected from some 400 presentations at the annual meeting of the International Chinese Statistical Association (ICSA), held with

• Author : N. Balakrishnan
• Publisher : John Wiley & Sons
• Release : 05 March 2014

A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results. The referenceunveils modern approaches vital to understanding, creating, and evaluating data obtained throughoutthe various stages of clinical trial

• Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Small-Number-Participant Clinical Research Trials
• Publisher : National Academies Press
• Release : 01 January 2001

Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of

• Author : Michael R. Kosorok,Erica E. M. Moodie
• Publisher : SIAM
• Release : 08 December 2015

Personalized medicine is a medical paradigm that emphasizes systematic use of individual patient information to optimize that patient's health care, particularly in managing chronic conditions and treating cancer. In the statistical literature, sequential decision making is known as an adaptive treatment strategy (ATS) or a dynamic treatment regime (DTR). The field of DTRs emerges at the interface of statistics, machine learning, and biomedical science to provide a data-driven framework for precision medicine. The authors provide a learning-by-seeing approach to the

• Author : David J. Spiegelhalter,Keith R. Abrams,Jonathan P. Myles
• Publisher : John Wiley & Sons
• Release : 05 May 2004

READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. Order a copy of this author’s comprehensive text TODAY! The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions.

• Author : Carol K. Redmond,Theodore Colton
• Publisher : John Wiley & Sons
• Release : 25 April 2001

The second volume in the Wiley reference series in Biostatistics. Featuring articles from the prestigious Encyclopedia of Biostatistics, many of which have been fully revised and updated to include recent developments, Biostatistics in Clinical Trials also includes up to 25% newly commissioned material reflecting the latest thinking in: Bayesian methods Benefit/risk assessment Cost-effectiveness Ethics Fraud With exceptional contributions from leading experts in academia, government and industry, Biostatistics in Clinical Trials has been designed to complement existing texts by providing extensive,

• Author : Ying Yuan,Hoang Q. Nguyen,Peter F. Thall
• Publisher : CRC Press
• Release : 19 December 2017

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources. Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a

• Author : N. Balakrishnan
• Publisher : John Wiley & Sons
• Release : 16 June 2014

Methods and Applications of Statistics in Clinical Trials,Volume 2: Planning, Analysis, and Inferential Methods includesupdates of established literature from the Wiley Encyclopedia ofClinical Trials as well as original material based on the latestdevelopments in clinical trials. Prepared by a leading expert, thesecond volume includes numerous contributions from currentprominent experts in the field of medical research. In addition,the volume features: • Multiple new articles exploring emerging topics, such asevaluation methods with threshold, empirical likelihood methods,nonparametric ROC analysis, over- and under-dispersed