Bayesian predictive approach to interim monitoring in clinical trials.
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Bayesian probability of success for clinical trials using historical data.The utility of Bayesian predictive probabilities for interim monitoring of clinical trials.Continuous time Markov chain approaches for analyzing transtheoretical models of health behavioral change: A case study and comparison of model estimations.Bayesian clinical trials in actionAdvantages of Bayesian monitoring methods in deciding whether and when to stop a clinical trial: an example of a neonatal cooling trial.Modeling to optimize terminal stem cell differentiationTradeoff-based optimization criteria in clinical trials with multiple objectives and adaptive designs.Bayesian predictive power: choice of prior and some recommendations for its use as probability of success in drug development.Joint probability of statistical success of multiple phase III trials.Interim decision-making strategies in adaptive designs for population selection using time-to-event endpoints.Oral Vancomycin Followed by Fecal Transplantation Versus Tapering Oral Vancomycin Treatment for Recurrent Clostridium difficile Infection: An Open-Label, Randomized Controlled Trial.Advantages of a wholly Bayesian approach to assessing efficacy in early drug development: a case study.Treatment of spontaneous preterm labour with retosiban: a phase II pilot dose-ranging studyDesign and analysis of Bayesian adaptive crossover trials for evaluating contact lens safety and efficacy.Evaluation of program success for programs with multiple trials in binary outcomes.The perils with the misuse of predictive power.Not too big, not too small: a goldilocks approach to sample size selection.Application of Bayesian Approach in Cancer Clinical Trial.Bayesian adaptive determination of the sample size required to assure acceptably low adverse event risk.Topiramate as an adjunct to amantadine in the treatment of dyskinesia in parkinson's disease: A randomized, double-blind, placebo-controlled multicenter study.Glucose and lipid effects of the ileal apical sodium-dependent bile acid transporter inhibitor GSK2330672: double-blind randomized trials with type 2 diabetes subjects taking metformin.A remark on 'Bayesian predictive approach to interim monitoring in clinical trials' by A. Dmitrienko and M-D. Wang.
P2860
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P2860
Bayesian predictive approach to interim monitoring in clinical trials.
description
2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年學術文章
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2006年學術文章
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name
Bayesian predictive approach to interim monitoring in clinical trials.
@en
Bayesian predictive approach to interim monitoring in clinical trials.
@nl
type
label
Bayesian predictive approach to interim monitoring in clinical trials.
@en
Bayesian predictive approach to interim monitoring in clinical trials.
@nl
prefLabel
Bayesian predictive approach to interim monitoring in clinical trials.
@en
Bayesian predictive approach to interim monitoring in clinical trials.
@nl
P356
P1476
Bayesian predictive approach to interim monitoring in clinical trials.
@en
P2093
Alexei Dmitrienko
Ming-Dauh Wang
P304
P356
10.1002/SIM.2204
P407
P577
2006-07-01T00:00:00Z