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Sensitivity Analysis in Sequential Decision Models
Medical Decision Making, 2016Background: Sequential decision problems are frequently encountered in medical decision making, which are commonly solved using Markov decision processes (MDPs). Modeling guidelines recommend conducting sensitivity analyses in decision-analytic models to assess the robustness of the model results against the uncertainty in model parameters.
Qiushi Chen +2 more
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Analysis of Sequential Decisions
The Journal of the Acoustical Society of America, 1959At the Washington meetings a year ago, we presented data showing that, at least on a macroscopic level, the statistical theory of sequential decision as developed by Wald provides a good description of the behavior of human observers in a sequential detection task.
David M. Green, John A. Swets
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Sequential meta-analysis: an efficient decision-making tool
Clinical Trials, 2010Background A cumulative meta-analysis of successive randomized controlled trials (RCTs) can be used to decide whether enough evidence has been obtained comparing a control and an intervention treatment or whether a new RCT should be initiated. In general, no adjustment is made for repeatedly testing the null hypothesis of treatment equivalence on ...
Ingeborg, van der Tweel, Casper, Bollen
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Approaches for Optimal Sequential Decision Analysis in Clinical Trials
Biometrics, 1998Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into interim and final analyses of clinical trial data. However, most previous Bayesian approaches have based the stopping decision on the posterior probability content of one or more regions of the parameter space, thus implicitly ...
Carlin, Bradley P. +2 more
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Sequential Decision Analysis of the Traditional Deterrence Game
Peace Economics, Peace Science and Public Policy, 2004We examine the traditional deterrence game between Challenger and Defender. We treat two variations of the game – the complete information game and the one-sided information game where the first mover, Challenger, is the uncertain player. We employ sequential decision theory to analyze the game of incomplete information.
Lisa J. Carlson, Raymond Dacey
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Sensitivity analysis of a sequential decision problem with learning
Mathematical Methods of Operations Research (ZOR), 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MUELLER A., SCARSINI, MARCO
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Bayesian decision sequential analysis with survival endpoint in phase II clinical trials
Statistics in Medicine, 2009AbstractChen and Chaloner (Statist. Med. 2006; 25:2956–2966. DOI: 10.1002/sim.2429) present a Bayesian stopping rule for a single‐arm clinical trial with a binary endpoint. In some cases, earlier stopping may be possible by basing the stopping rule on the time to a binary event.
Lili, Zhao, George, Woodworth
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Sensitivity Analysis in Sequential Decision Models.
Medical decision making : an international journal of the Society for Medical Decision Making, 2018Sequential decision problems are frequently encountered in medical decision making, which are commonly solved using Markov decision processes (MDPs). Modeling guidelines recommend conducting sensitivity analyses in decision-analytic models to assess the robustness of the model results against the uncertainty in model parameters.
Qiushi, Chen +2 more
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Sequential Decision Analysis and Risk Analysis for Antarctic Offshore Petroleum Development
Proceedings of SPE Annual Technical Conference and Exhibition, 1995ABSTRACT Integration of geological, engineering, environmental and economic parameters of the Ross Sea, Antarctica led to the development of a quantitative assessment of potential petroleum development in this region. A decision analysis model of 90 outcomes (excluding ‘no’ decisions) indicated that the best alternative is a 400,000 Bopd
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