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Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research
by
Press, William H
in
Approximation
/ Bayes Theorem
/ Biological Sciences
/ Clinical trials
/ Comparative Effectiveness Research - ethics
/ Comparative Effectiveness Research - statistics & numerical data
/ Comparative studies
/ Cost allocation
/ Cost efficiency
/ Cost functions
/ Cost-Benefit Analysis - ethics
/ Cost-Benefit Analysis - statistics & numerical data
/ Economic costs
/ Effectiveness
/ Electronic health records
/ Electronic Health Records - ethics
/ Electronic Health Records - statistics & numerical data
/ ethics
/ Evidence-Based Medicine
/ Health outcomes
/ Heuristics
/ Humans
/ Medical ethics
/ Medical research
/ Medical treatment
/ Models, Statistical
/ Optimal strategies
/ Outcome Assessment (Health Care)
/ patients
/ Physical Sciences
/ randomized clinical trials
/ Randomized Controlled Trials as Topic - economics
/ Randomized Controlled Trials as Topic - ethics
/ Randomized Controlled Trials as Topic - statistics & numerical data
2009
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Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research
by
Press, William H
in
Approximation
/ Bayes Theorem
/ Biological Sciences
/ Clinical trials
/ Comparative Effectiveness Research - ethics
/ Comparative Effectiveness Research - statistics & numerical data
/ Comparative studies
/ Cost allocation
/ Cost efficiency
/ Cost functions
/ Cost-Benefit Analysis - ethics
/ Cost-Benefit Analysis - statistics & numerical data
/ Economic costs
/ Effectiveness
/ Electronic health records
/ Electronic Health Records - ethics
/ Electronic Health Records - statistics & numerical data
/ ethics
/ Evidence-Based Medicine
/ Health outcomes
/ Heuristics
/ Humans
/ Medical ethics
/ Medical research
/ Medical treatment
/ Models, Statistical
/ Optimal strategies
/ Outcome Assessment (Health Care)
/ patients
/ Physical Sciences
/ randomized clinical trials
/ Randomized Controlled Trials as Topic - economics
/ Randomized Controlled Trials as Topic - ethics
/ Randomized Controlled Trials as Topic - statistics & numerical data
2009
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Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research
by
Press, William H
in
Approximation
/ Bayes Theorem
/ Biological Sciences
/ Clinical trials
/ Comparative Effectiveness Research - ethics
/ Comparative Effectiveness Research - statistics & numerical data
/ Comparative studies
/ Cost allocation
/ Cost efficiency
/ Cost functions
/ Cost-Benefit Analysis - ethics
/ Cost-Benefit Analysis - statistics & numerical data
/ Economic costs
/ Effectiveness
/ Electronic health records
/ Electronic Health Records - ethics
/ Electronic Health Records - statistics & numerical data
/ ethics
/ Evidence-Based Medicine
/ Health outcomes
/ Heuristics
/ Humans
/ Medical ethics
/ Medical research
/ Medical treatment
/ Models, Statistical
/ Optimal strategies
/ Outcome Assessment (Health Care)
/ patients
/ Physical Sciences
/ randomized clinical trials
/ Randomized Controlled Trials as Topic - economics
/ Randomized Controlled Trials as Topic - ethics
/ Randomized Controlled Trials as Topic - statistics & numerical data
2009
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Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research
Journal Article
Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research
2009
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Overview
As electronic medical records enable increasingly ambitious studies of treatment outcomes, ethical issues previously important only to limited clinical trials become relevant to unlimited whole populations. For randomized clinical trials, adaptive assignment strategies are known to expose substantially fewer patients to avoidable treatment failures than strategies with fixed assignments (e.g., equal sample sizes). An idealized adaptive case--the two-armed Bernoulli bandit problem--can be exactly optimized for a variety of ethically motivated cost functions that embody principles of duty-to-patient, but the solutions have been thought computationally infeasible when the numbers of patients in the study (the \"horizon\") is large. We report numerical experiments that yield a heuristic approximation that applies even to very large horizons, and we propose a near-optimal strategy that remains valid even when the horizon is unknown or unbounded, thus applicable to comparative effectiveness studies on large populations or to standard-of-care recommendations. For the case in which the economic cost of treatment is a parameter, we give a heuristic, near-optimal strategy for determining the superior treatment (whether more or less costly) while minimizing resources wasted on any inferior, more expensive, treatment. Key features of our heuristics can be generalized to more complicated protocols.
Publisher
National Academy of Sciences,National Acad Sciences
Subject
/ Comparative Effectiveness Research - ethics
/ Comparative Effectiveness Research - statistics & numerical data
/ Cost-Benefit Analysis - ethics
/ Cost-Benefit Analysis - statistics & numerical data
/ Electronic Health Records - ethics
/ Electronic Health Records - statistics & numerical data
/ ethics
/ Humans
/ Outcome Assessment (Health Care)
/ patients
/ Randomized Controlled Trials as Topic - economics
/ Randomized Controlled Trials as Topic - ethics
/ Randomized Controlled Trials as Topic - statistics & numerical data
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