Literature DB >> 8210821

Analysis as-randomized and the problem of non-adherence: an example from the Veterans Affairs Randomized Trial of Coronary Artery Bypass Surgery.

P Peduzzi1, J Wittes, K Detre, T Holford.   

Abstract

In most randomized clinical trials not all patients adhere to the therapy to which they were randomly assigned. Instead, they may receive the therapy assigned to another treatment group, or a therapy different from any prescribed in the protocol. When non-adherence occurs, problems occur with the analysis comparing the treatments under study. Rigorous statistical principles require attributing outcome events to the original random treatment assignment ('intent-to-treat' analysis). Using data from the Veterans Administration Cooperative Study of Coronary Artery Bypass Surgery, we report the intent-to-treat analysis and apply four other methods of analysis for analysing non-adherers: 1. exclude non-adherers from analysis; 2. transfer them to the alternative treatment group at the time of randomization; 3. censor them at the time of treatment change, and 4. transfer them to the alternative treatment group at the time of treatment change. Inherent problems and biases of these four other methods are discussed.

Entities:  

Mesh:

Year:  1993        PMID: 8210821     DOI: 10.1002/sim.4780121302

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  13 in total

1.  Efficacy of a preventive intervention for youths living with HIV.

Authors:  M J Rotheram-Borus; M B Lee; D A Murphy; D Futterman; N Duan; J M Birnbaum; M Lightfoot
Journal:  Am J Public Health       Date:  2001-03       Impact factor: 9.308

2.  The Diabetes Prevention Program. Design and methods for a clinical trial in the prevention of type 2 diabetes.

Authors: 
Journal:  Diabetes Care       Date:  1999-04       Impact factor: 19.112

3.  Limitations of analyses based on achieved blood pressure: lessons from the African American study of kidney disease and hypertension trial.

Authors:  Esa M Davis; Lawrence J Appel; Xuelei Wang; Tom Greene; Brad C Astor; Mahboob Rahman; Robert Toto; Michael S Lipkowitz; Velvie A Pogue; Jackson T Wright
Journal:  Hypertension       Date:  2011-05-09       Impact factor: 10.190

4.  Treatment options for type 2 diabetes in adolescents and youth: a study of the comparative efficacy of metformin alone or in combination with rosiglitazone or lifestyle intervention in adolescents with type 2 diabetes.

Authors:  P Zeitler; L Epstein; M Grey; K Hirst; F Kaufman; W Tamborlane; D Wilfley
Journal:  Pediatr Diabetes       Date:  2007-04       Impact factor: 4.866

5.  Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study.

Authors:  James P Morden; Paul C Lambert; Nicholas Latimer; Keith R Abrams; Allan J Wailoo
Journal:  BMC Med Res Methodol       Date:  2011-01-11       Impact factor: 4.615

6.  Strategy for intention to treat analysis in randomised trials with missing outcome data.

Authors:  Ian R White; Nicholas J Horton; James Carpenter; Stuart J Pocock
Journal:  BMJ       Date:  2011-02-07

7.  A tutorial on sensitivity analyses in clinical trials: the what, why, when and how.

Authors:  Lehana Thabane; Lawrence Mbuagbaw; Shiyuan Zhang; Zainab Samaan; Maura Marcucci; Chenglin Ye; Marroon Thabane; Lora Giangregorio; Brittany Dennis; Daisy Kosa; Victoria Borg Debono; Rejane Dillenburg; Vincent Fruci; Monica Bawor; Juneyoung Lee; George Wells; Charles H Goldsmith
Journal:  BMC Med Res Methodol       Date:  2013-07-16       Impact factor: 4.615

8.  A causal model for longitudinal randomised trials with time-dependent non-compliance.

Authors:  Taeko Becque; Ian R White; Mark Haggard
Journal:  Stat Med       Date:  2015-03-16       Impact factor: 2.373

9.  Actos Now for the prevention of diabetes (ACT NOW) study.

Authors:  Ralph A Defronzo; Maryann Banerji; George A Bray; Thomas A Buchanan; Stephen Clement; Robert R Henry; Abbas E Kitabchi; Sunder Mudaliar; Nicolas Musi; Robert Ratner; Peter D Reaven; Dawn Schwenke; Frankie B Stentz; Devjit Tripathy
Journal:  BMC Endocr Disord       Date:  2009-07-29       Impact factor: 2.763

10.  Effects of a lifestyle modification programme to reduce the number of risk factors for metabolic syndrome: a randomised controlled trial.

Authors:  Mariko Watanabe; Masako Yokotsuka; Kazue Yamaoka; Misa Adachi; Asuka Nemoto; Toshiro Tango
Journal:  Public Health Nutr       Date:  2016-07-29       Impact factor: 4.022

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.