Fundamental Concepts for New Clinical Trialists

Fundamental Concepts for New Clinical Trialists

AngličtinaPevná väzba
Evans, Scott
Taylor & Francis Inc
EAN: 9781420090871
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Podrobné informácie

Fundamental Concepts for New Clinical Trialists describes the core scientific concepts of designing, data monitoring, analyzing, and reporting clinical trials as well as the practical aspects of trials not typically discussed in statistical methodology textbooks.

The first section of the book provides background information about clinical trials. It defines and compares clinical trials to other types of research studies and discusses clinical trial phases, registration, the protocol document, ethical issues, product development, and regulatory processes. It also includes a special chapter outlining the valuable attributes that statisticians can develop to maximize their contributions to a clinical trial.

The second section examines scientific issues faced in each progressive step of a clinical trial. It covers issues in trial design, such as randomization, blinding, control-group selection, endpoint selection, superiority versus noninferiority, and parallel group versus crossover designs; data monitoring; analyses of efficacy, safety, and benefit-risk; and the reporting/publication of clinical trial results.

As clinical trials remain the gold standard research studies for evaluating the effects of a medical intervention, newcomers to the field must have a fundamental understanding of the concepts to tackle real-world issues in all stages of trials. Drawing on their experiences in academia and industry, the authors provide a foundation for understanding the fundamental concepts necessary for working in clinical trials.

EAN 9781420090871
ISBN 1420090879
Typ produktu Pevná väzba
Vydavateľ Taylor & Francis Inc
Dátum vydania 25. septembra 2015
Stránky 348
Jazyk English
Rozmery 234 x 156
Krajina United States
Autori Evans, Scott; Ting Naitee
Ilustrácie 57 Tables, black and white; 38 Illustrations, black and white
Editori rady Jones Byron; Liu, Jen-pei; Peace Karl E.; Turnbull Bruce W.
Séria Chapman & Hall/CRC Biostatistics Series