Preventing Selection Bias in Randomized Trials

2018 ◽  
Vol 99 ◽  
pp. 106-112 ◽  
Author(s):  
Jaime Bolzern ◽  
Nandi Mnyama ◽  
Katharine Bosanquet ◽  
David J. Torgerson

2009 ◽  
Vol 26 (4) ◽  
pp. E8 ◽  
Author(s):  
Robert M. Starke ◽  
Ricardo J. Komotar ◽  
E. Sander Connolly

Moyamoya disease is a chronic cerebrovascular occlusive disorder that results in severe morbidity and death. There is much controversy surrounding the optimal treatment for adult patients with the disorder. There have been no randomized trials to assess the efficacy of any single surgical treatment, and existing case series suffer from inadequate power, selection bias, and inherent differences in patient characteristics. In this article the authors review the literature concerning the optimal surgical treatment of adult patients with moyamoya disease.


1985 ◽  
Vol 24 (03) ◽  
pp. 131-134 ◽  
Author(s):  
M. Olschewski ◽  
H. Scheurlen

SummaryIf in a clinical trial only few patients consent to randomization, all those patients meeting the clinical inclusion criteria should be considered for analysis. Prerandomization is shown to be efficient only if patients can be persuaded to accept the prescribed therapy and do not introduce a self-selection bias. Under full informed consent conditions, as, for example, in a breast preservation trial, the first requirement must be questioned for ethical, the second one for methodological reasons. Conventionally randomized trials with the inclusion of patients having therapeutic preferences appear to be preferable. We briefly discuss the way of analysing the data from such a cohort study.


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