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A design for testing clinical strategies: biased adaptive within-subject randomization
by
Dawson, R.
, Lavori, P. W.
in
Adaptive randomization
/ Algorithms
/ Applications
/ Clinical trials
/ Data imputation
/ Decision making
/ Depressive disorders
/ Design of clinical trials
/ Diseases
/ Economic sociology
/ Exact sciences and technology
/ Experiment design
/ Health outcomes
/ Inference
/ Mathematics
/ Medical sciences
/ Missing data
/ Monoamine oxidase inhibitors
/ Probability and statistics
/ Random allocation
/ Sciences and techniques of general use
/ Serotonin agents
/ Statistics
/ Symptoms
/ Time-varying treatments
2000
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A design for testing clinical strategies: biased adaptive within-subject randomization
by
Dawson, R.
, Lavori, P. W.
in
Adaptive randomization
/ Algorithms
/ Applications
/ Clinical trials
/ Data imputation
/ Decision making
/ Depressive disorders
/ Design of clinical trials
/ Diseases
/ Economic sociology
/ Exact sciences and technology
/ Experiment design
/ Health outcomes
/ Inference
/ Mathematics
/ Medical sciences
/ Missing data
/ Monoamine oxidase inhibitors
/ Probability and statistics
/ Random allocation
/ Sciences and techniques of general use
/ Serotonin agents
/ Statistics
/ Symptoms
/ Time-varying treatments
2000
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Do you wish to request the book?
A design for testing clinical strategies: biased adaptive within-subject randomization
by
Dawson, R.
, Lavori, P. W.
in
Adaptive randomization
/ Algorithms
/ Applications
/ Clinical trials
/ Data imputation
/ Decision making
/ Depressive disorders
/ Design of clinical trials
/ Diseases
/ Economic sociology
/ Exact sciences and technology
/ Experiment design
/ Health outcomes
/ Inference
/ Mathematics
/ Medical sciences
/ Missing data
/ Monoamine oxidase inhibitors
/ Probability and statistics
/ Random allocation
/ Sciences and techniques of general use
/ Serotonin agents
/ Statistics
/ Symptoms
/ Time-varying treatments
2000
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A design for testing clinical strategies: biased adaptive within-subject randomization
Journal Article
A design for testing clinical strategies: biased adaptive within-subject randomization
2000
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Overview
We propose a method for assigning treatment in clinical trials, called the 'biased coin adaptive within-subject' (BCAWS) design: during the course of follow-up, the subject's response to a treatment is used to influence the future treatment, through a 'biased coin' algorithm. This design results in treatment patterns that are closer to actual clinical practice and may be more acceptable to patients with chronic disease than the usual fixed trial regimens, which often suffer from drop-out and non-adherence. In this work, we show how to use the BCAWS design to compare treatment strategies, and we provide a simple example to illustrate the method.
Publisher
Blackwell Publishers Ltd,Blackwell Publishers,Blackwell,Royal Statistical Society
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