Description

Book Synopsis

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 design and analysis.

Accessible and comprehensive, the first volume in a two-part set includes newly-written articles as well as established literature from the Wiley Encyclopedia of Clinical Trials. Illustrating a variety of statistical concepts and principles such as longitudinal data, missing data, covariates, biased-coin randomization, repeated measurements, and simple randomiz

Trade Review

“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)



Table of Contents

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 945

Methods and Applications of Statistics in

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A Hardback by Narayanaswamy Balakrishnan

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    View other formats and editions of Methods and Applications of Statistics in by Narayanaswamy Balakrishnan

    Publisher: John Wiley & Sons Inc
    Publication Date: 25/03/2014
    ISBN13: 9781118304730, 978-1118304730
    ISBN10: 111830473X

    Description

    Book Synopsis

    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 design and analysis.

    Accessible and comprehensive, the first volume in a two-part set includes newly-written articles as well as established literature from the Wiley Encyclopedia of Clinical Trials. Illustrating a variety of statistical concepts and principles such as longitudinal data, missing data, covariates, biased-coin randomization, repeated measurements, and simple randomiz

    Trade Review

    “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)



    Table of Contents

    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 945

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