The Choice of a Randomization Procedure in Survival Studies with Nonproportional Hazards
TLDR
The susceptibility of a clinical trial to allocation bias is related to the randomization procedure used to allocate patients to treatments, and the choice of a suitable randomization pro... as discussed by the authors.Abstract:
The susceptibility of a clinical trial to allocation bias is related to the randomization procedure used to allocate patients to treatments. Consequently, the choice of a suitable randomization pro...read more
Citations
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New Test for the Comparison of Survival Curves to Detect Late Differences
TL;DR: In this article, the authors proposed a new weight function comprising all numbers at risk, i.e., the overall number at risk and the separate numbers in the groups under study, to detect late differences between survival curves.
References
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Survival Analysis Part I: Basic concepts and first analyses
TL;DR: Multivariate survival analysis, a form of multiple regression, provides a way of doing this adjustment for patient-related factors that could potentially affect the survival time of a patient, and is the subject of the next paper in this series.
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Turning a Blind Eye: The Success of Blinding Reported in a Random Sample of Randomised, Placebo Controlled Trials
TL;DR: The current lack of reporting on the success of blinding provides little evidence that success of blindness is maintained in placebo controlled trials, according to a random sample of 200 randomised clinical trials.
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Minimizing predictability while retaining balance through the use of less restrictive randomization procedures.
TL;DR: The maximal procedure takes as input the extent of chronological bias allowed by the randomized block procedure, then matches it, but does so with fewer restrictions, which makes the maximal procedure more resistant to selection bias than the randomizedBlock procedure is.
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Design for the Control of Selection Bias
David Blackwell,J. L. Hodges +1 more
TL;DR: In this article, the authors investigate the extent to which a statistician, by determining the order in which treatments are administered, and not revealing to the experimenter which treatment comes next until after the individual who is to receive it has been selected, can control the selection bias.