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Methods and Applications of Statistics in Clinical Trials Vol.1

Concepts, Principles, Trials, and Designs
BuchGebunden
992 Seiten
Englisch
Wiley & Sonserschienen am25.03.20141. Auflage
This comprehensive book features both new and established material on the key statistical principles and concepts for designing modern-day clinical trials, such as hazard ratio, flexible designs, confounding, covariates, missing data, and longitudinal data.mehr
Verfügbare Formate
BuchGebunden
EUR224,50
E-BookEPUB2 - DRM Adobe / EPUBE-Book
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E-BookPDF2 - DRM Adobe / Adobe Ebook ReaderE-Book
EUR177,99
E-BookEPUB2 - DRM Adobe / EPUBE-Book
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Produkt

KlappentextThis comprehensive book features both new and established material on the key statistical principles and concepts for designing modern-day clinical trials, such as hazard ratio, flexible designs, confounding, covariates, missing data, and longitudinal data.
Details
ISBN/GTIN978-1-118-30473-0
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2014
Erscheinungsdatum25.03.2014
Auflage1. Auflage
Seiten992 Seiten
SpracheEnglisch
Artikel-Nr.29049621

Inhalt/Kritik

Inhaltsverzeichnis
Contributors xxiii Preface xxix 1 Absolute Risk Reduction 1 2 Accelerated Approval 14 3 AIDS Clinical Trials Group (ACTG) 27 4 Algorithm-Based Designs 40  5 Alpha-Spending Function 53  6 Application of New Designs in Phase I Trials 65  7 ASCOT Trial 74 8 Benefit/Risk Assessment in Prevention Trials 80  9 Biased Coin Randomization 90  10 Biological Assay, Overview 106  11 Block Randomization 125  12 Censored Data 139 13 Clinical Data Coordination 146  14 Clinical Data Management 164  15 Clinical Significance 170 16 Clinical Trial Misconduct 191 17 Clinical Trials, Early Cancer and Heart Disease 205  18 Cluster Randomization 216  19 Coherence in Phase I Clinical Trials 230 20 Compliance and Survival Analysis 240  21 Composite Endpoints in Clinical Trials 246 22 Confounding 252  23 Control Groups 263 24 Coronary Drug Project 273 25 Covariates 285 26 Crossover Design 300 27 Crossover Trials 310 28 Diagnostic Studies 320 29 DNA Bank 340 30 Up-and-Down and Escalation Designs 353 31 Dose Ranging Crossover Designs 362 32 Flexible Designs 383  33 Gene Therapy 399 34 Global Assessment Variables 423 35 Good Clinical Practice (GCP) 438 36 Group-Randomized Trials 448 37 Group Sequential Designs 467 38 Hazard Ratio 483 39 Large Simple Trials 500 40 Longitudinal Data 510 41 Maximum Duration and Information Trials 515 42 Missing Data 522 43 Mother to Child Human Immunodeficiency Virus Transmission Trials 536 44 Multiple Testing in Clinical Trials 550 45 Multicenter Trials 558 46 Multiple Endpoints 570 47 Multiple Risk Factor Intervention Trial 577 48 N-of-1 Randomized Trials 587 49 Noninferiority Trial 598 50 Nonrandomized Trials 609  51 Open-Labeled Trials 619 52 Optimizing Schedule of Administration in Phase I Clinical Trials 625 53 Partially Balanced Designs 635 54 Phase I/II Clinical Trials 658 55 Phase II/III Trials 667 56 Phase I Trials 682 57 Phase II Trials 692 58 Phase III Trials 700 59 Phase IV Trials 711 60 Phase I Trials in Oncology 719 61 Placebos 725 62 Planning a Group-Randomized Trial 736 63 Postmenopausal Estrogen/Progestin Interventions Trial (PEPI) 744 64 Preference Trials 759 65 Prevention Trials 770 66 Primary Efficacy Endpoint 779 67 Prognostic Variables in Clinical Trials 789 68 Randomization Procedures 799 69 Randomization Schedule 813  70 Repeated Measurements 827 71 Simple Randomization 841 72 Subgroups 850 73 Superiority Trials 867 74 Surrogate Endpoints 878 75 TNT Trial 887 76 UGDP Trial 894 77 Women's Health Initiative Hormone Therapy Trials 918 78 Women's Health Initiative Dietary Modification Trial 931 Index 945mehr
Kritik
"Methods and Applications of Statistics in Clinical Trials is a comprehensive, in-depth and up-to-date guide to statistics in clinical research. Most readers will have more than an introductory understanding of statistics." ( Journal of Clinical Research Best Practices , 5 May 2015)

"This book provides an excellent description of the methods and applications of statistics to design clinical trials and to understand and evaluate data at different stages of clinical trials. It is strongly recommended for researchers, practitioners, and students." ( Doody's , 13 February 2015)mehr

Autor

N. BALAKRISHNAN, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Canada. He is the author of over twenty books and is the coeditor of Encyclopedia of Statistical Sciences, Second Edition, also published by Wiley.