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pro vyhledávání: '"Paul J. Roback"'
Autor:
Paul J. Roback, Geof H. Givens
Publikováno v:
Communications in Statistics - Simulation and Computation. 30:447-476
Deterministic simulation models are used to guide decision-making and enhance understanding of complex systems such as disease transmission, population dynamics, and tree plantation growth. Bayesian inference about parameters in deterministic simulat
Autor:
Shawn M. Welch, Paul J. Roback
Publikováno v:
Journal of Social Service Research. 27:23-40
This article introduces classification trees as aviable alternative for classification modeling with social service data. As an empirical application of tree-based methods, the performance of a classification tree is com pared to logistic regression
Autor:
Paul J. Roback, Geof H. Givens
Publikováno v:
Journal of Computational and Graphical Statistics. 8:452-478
We consider Bayesian inference when priors and likelihoods are both available for inputs and outputs of a deterministic simulation model. This problem is fundamentally related to the issue of aggregating (i.e., pooling) expert opinion. We survey alte
Autor:
Michael G. Wilson, David J. Goldstein, Paul J. Roback, Gary D. Tollefson, Susan H. Hamilton, Alvin H. Rampey, Mary E. Sayler
Publikováno v:
Obesity Research. 3:481S-490S
Obesity is a major health care concern because of its associated medical complications and increased mortality. Despite a myriad of short-term weight loss strategies and the motivation of improving health, patients have difficulty maintaining reduced
Autor:
Carol M. Andrejasich, Gary D. Tollefson, John H. Heiligenstein, Paul J. Roback, Kathleen M. Beusterien, John E. Ware
Publikováno v:
International Psychogeriatrics. 7:125-137
In a randomized 6-week trial comparing fluoxetine with placebo, the Medical Outcomes Study 36-Item Short-Form Health Status Survey (SF-36) scales were used to measure the effects of treatment on functional health and well-being among elderly (age ≥
Publikováno v:
Obesity research. 2(4)
Since few medications are equally effective in all patients, physicians can maximize the risk/benefit ratio of therapy for their patients by limiting exposure based on baseline predictors of success. Traditional procedures typically evaluate the resp