Strategy and Statistics in Clinical Trials

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 and concepts of clinical trials . Promotes effective cooperation between statisticians and important other parties.

Produk Detail:

  • Author : Joseph Tal
  • Publisher : Academic Press
  • Pages : 267 pages
  • ISBN : 0123869099
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKStrategy and Statistics in Clinical Trials

Strategy and Statistics in Clinical Trials

Strategy and Statistics in Clinical Trials
  • Author : Joseph Tal
  • Publisher : Academic Press
  • Release : 19 January 2022
GET THIS BOOKStrategy and Statistics in Clinical Trials

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

Strategy and Statistics in Clinical Trials

Strategy and Statistics in Clinical Trials
  • Author : Joseph Tal
  • Publisher : Unknown Publisher
  • Release : 19 January 2022
GET THIS BOOKStrategy and Statistics in Clinical Trials

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

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials
  • Author : Mark Chang,John Balser,Jim Roach,Robin Bliss
  • Publisher : CRC Press
  • Release : 20 March 2019
GET THIS BOOKInnovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

"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

Small Clinical Trials

Small Clinical Trials
  • 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
GET THIS BOOKSmall Clinical Trials

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

Strategy and Statistics in Clinical Trials

Strategy and Statistics in Clinical Trials
  • Author : Joseph Tal
  • Publisher : Academic Press
  • Release : 26 June 2011
GET THIS BOOKStrategy and Statistics in Clinical Trials

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,

The Prevention and Treatment of Missing Data in Clinical Trials

The Prevention and Treatment of Missing Data in Clinical Trials
  • Author : National Research Council,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Handling Missing Data in Clinical Trials
  • Publisher : National Academies Press
  • Release : 21 January 2011
GET THIS BOOKThe Prevention and Treatment of Missing Data in Clinical Trials

Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or

Sharing Clinical Trial Data

Sharing Clinical Trial Data
  • Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
  • Publisher : National Academies Press
  • Release : 20 April 2015
GET THIS BOOKSharing Clinical Trial Data

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine

Preventing and Treating Missing Data in Longitudinal Clinical Trials

Preventing and Treating Missing Data in Longitudinal Clinical Trials
  • Author : Craig H. Mallinckrodt
  • Publisher : Cambridge University Press
  • Release : 28 January 2013
GET THIS BOOKPreventing and Treating Missing Data in Longitudinal Clinical Trials

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways

Design and Analysis of Quality of Life Studies in Clinical Trials

Design and Analysis of Quality of Life Studies in Clinical Trials
  • Author : Diane L. Fairclough
  • Publisher : CRC Press
  • Release : 28 March 2002
GET THIS BOOKDesign and Analysis of Quality of Life Studies in Clinical Trials

More and more frequently, clinical trials include the evaluation of Health-Related Quality of Life (HRQoL), yet many investigators remain unaware of the unique measurement and analysis issues associated with the assessment of HRQoL. At the end of a study, clinicians and statisticians often face challenging and sometimes insurmountable analytic problems. Design and Analysis of Quality of Life Studies in Clinical Trials details these issues and presents a range of solutions. Written from the author's extensive experience in the field, it

Clinical Trial Optimization Using R

Clinical Trial Optimization Using R
  • Author : Alex Dmitrienko,Erik Pulkstenis
  • Publisher : CRC Press
  • Release : 10 August 2017
GET THIS BOOKClinical Trial Optimization Using R

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or

Statistical Thinking in Clinical Trials

Statistical Thinking in Clinical Trials
  • Author : Michael A. Proschan
  • Publisher : CRC Press
  • Release : 24 November 2021
GET THIS BOOKStatistical Thinking in Clinical Trials

Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a

Controversial Statistical Issues in Clinical Trials

Controversial Statistical Issues in Clinical Trials
  • Author : Shein-Chung Chow
  • Publisher : CRC Press
  • Release : 15 June 2011
GET THIS BOOKControversial Statistical Issues in Clinical Trials

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,

Handbook of Statistics in Clinical Oncology

Handbook of Statistics in Clinical Oncology
  • Author : John Crowley,Antje Hoering,Donna Ankerst
  • Publisher : CRC Press
  • Release : 01 December 2005
GET THIS BOOKHandbook of Statistics in Clinical Oncology

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

Clinical Trials

Clinical Trials
  • Author : Stuart J. Pocock
  • Publisher : John Wiley & Sons
  • Release : 17 July 2013
GET THIS BOOKClinical Trials

This comprehensive, unified text on the principles and practice of clinical trials presents a detailed account of how to conduct the trials. It describes the design, analysis, and interpretation of clinical trials in a non-technical manner and provides a general perspective on their historical development, current status, and future strategy. Features examples derived from the author's personal experience.

Clinical Trial Biostatistics and Biopharmaceutical Applications

Clinical Trial Biostatistics and Biopharmaceutical Applications
  • Author : Walter R. Young,Ding-Geng (Din) Chen
  • Publisher : CRC Press
  • Release : 20 November 2014
GET THIS BOOKClinical Trial Biostatistics and Biopharmaceutical Applications

Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications from the pharmaceutical industry. Divided into five sections, the book begins with emerging issues in clinical trial design and analysis, including the roles of modeling and simulation, the pros and cons of randomization procedures, the design of