Selection bias and covariate imbalances in randomized clinical trials
著者
書誌事項
Selection bias and covariate imbalances in randomized clinical trials
(Statistics in practice)
John Wiley & Sons, c2005
大学図書館所蔵 全8件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
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  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Selection bias can, and does, occur, even in randomized clinical trials. Steps need to be taken in order to ensure that this does not compromise the integrity of clinical trials; hence "Selection Bias and Covariate Imbalances in Randomized Clinical Trials" offers a comprehensive treatment of the subject and the methodology involved. This book:
Provides an overview of the hierarchy of study designs, and justifies the position of randomised trials at the top of this hierarchy.
Discusses the strengths and defects of randomisation, and provides real evidence to justify concern regarding its defects.
Outlays the damaging consequences that selection bias causes when it does occur.
Considers courses of action that can be taken to manage/ contain the problem.
Presents methods that can be used to detect selection bias in randomised trials, and methods to correct for selection bias.
Concludes by providing a comprehensive plan for managing baseline imbalances and selection bias in randomised trials, and proposing open problems for future research.
Illustrated with case studies, this book introduces groundbreaking ideas and research that will be invaluable to researchers and practitioners who design and analyse clinical trials. It will also be of interest to graduate students within the field of biostatistics.
目次
Preface. Part I: Is There a Problem with Reliability in Medical Studies?
1 An Evolution of Comparative Methodology.
1.1 Single-subject studies.
1.2 Case series and cohort studies.
1.3 Historical controls.
1.4 Parallel control groups.
1.5 Matched studies.
1.6 Randomization.
1.7 Advance randomization.
1.8 Allocation concealment.
1.9 Residual selection bias.
2 Susceptibility of Randomized Trials to Subversion and Selection Bias.
2.1 Can randomized trials be subverted?
2.2 If randomized trials are subverted, do they cease to be randomized trials?
2.3 What is masking?
2.4 What is allocation concealment?
2.5 A double standard.
2.6 What if allocation concealment could be ensured?
3 Evidence of Selection Bias in Randomized Trials.
3.1 The burden of proof regarding the existence of selection bias in randomized trials.
3.2 Indirect population-level evidence that selection bias exists in randomized trials.
3.3 Direct trial-level evidence that selection bias exists in randomized trials.
3.3.1 Heparin for myocardial infarction.
3.3.2 University Group Diabetes Program.
3.3.3 Talc and mustine for pleural effusions.
3.3.4 Tonsillectomy for recurrent throat infection in children.
3.3.5 Oxytocin and amniotomy for induction of labor.
3.3.6 Western Washington Intracoronary Streptokinase Trial.
3.3.7 RSV immune globulin in infants and young children with respiratory syncytial virus.
3.3.8 A trial to assess episiotomy.
3.3.9 Canadian National Breast Cancer Screening Study.
3.3.10 Surgical trial.
3.3.11 Lifestyle Heart Trial.
3.3.12 Coronary Artery Surgery Study.
3.3.13 Etanercept for children with juvenile rheumatoid arthritis.
3.3.14 Edinburgh Randomized Trial of Breast-Cancer Screening.
3.3.15 Captopril Prevention Project.
3.3.16 Goteborg (Swedish) Mammography Trial.
3.3.17 HIP Mammography Trial.
3.3.18 Hypertension Detection and Follow-Up Program.
3.3.19 Randomized trial to prevent vertical transmission of HIV-1.
3.3.20 Effectiveness trial of a diagnostic test.
3.3.21 South African trial of high-dose chemotherapy for metastatic breast cancer.
3.3.22 Randomized study of a culturally sensitive AIDS education program.
3.3.23 Runaway Youth Study.
3.3.24 Cluster randomized trial of palliative care.
3.3.25 Randomized trial of methadone with or without heroin.
3.3.26 Randomized NINDS trial of tissue plasminogen activator for acute ischemic stroke.
3.3.27 Norwegian Timolol Trial.
3.3.28 Laparoscopic versus open appendectomy.
3.3.29 The Losartan Intervention for Endpoint Reduction in Hypertension (LIFE) Study.
3.3.30 The Heart Outcomes Prevention Evaluation (HOPE) Study.
3.4 In search of better evidence.
4 Impact of Selection Bias in Randomized Trials.
4.1 Quantifying the prediction of future allocations: balanced blocks.
4.2 Quantifying prediction of future allocations: unbalanced blocks.
4.3 Quantifying covariate imbalance resulting from selection bias.
4.4 Quantifying the bias resulting from covariate imbalance.
Part II: Actions to be Taken to Improve the Reliability of Medical Studies.
5 Preventing Selection Bias in Randomized Trials.
5.1 Minimizing the Impact of Selection Bias.
5.2 Biased Selection of Investigators.
5.3 Minimizing the prediction of future allocations.
5.3.1 The trade-off between selection bias and chronological bias.
5.3.2 Notation.
5.3.3 Varying the block sizes.
5.3.4 The maximal procedure.
5.3.5 Extensions.
6 Detecting Selection Bias in Randomized Trials.
6.1 Baseline Imbalances in Observed Covariates.
6.2 Testing for selection bias without baseline analyses.
6.3 The selection covariate.
6.4 The role of the reverse propensity score in third-order residual selection bias.
6.5 Using the reverse propensity score To Test for selection bias: the Berger-Exner test and graph.
6.6 Using the screening log to test for selection bias.
6.7 The Ivanova-Barrier-Berger (IBB) Detection Method.
6.8 Interpreting negative tests of selection bias.
6.9 When should one test for selection bias?
6.10 Who should test for selection bias?
7 Adjusting for Selection Bias in Randomized Trials.
7.1 Methods proposed for addressing non-random baseline imbalances.
7.2 Selection bias arising from a complete lack of allocation concealment.
7.3 Selection bias arising from imperfect allocation concealment.
7.3.1 The RPS approach to adjusting for selection bias.
7.3.2 The Ivanova-Barrier-Berger (IBB) method for correcting selection bias.
8 Managing Selection Bias in Randomized Trials.
8.1 Action points during the design phase of the trial.
8.2 Action points during the conduct of the trial.
8.3 Action points during the analysis of trial data.
8.4 Action points by party.
References.
Author Index.
Subject Index.
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