Gaussian process modeling in conjunction with individual patient simulation modeling: a case study describing the calculation of cost-effectiveness ratios for the treatment of established osteoporosis.
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Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approachModeling human papillomavirus and cervical cancer in the United States for analyses of screening and vaccination.Strategies for efficient computation of the expected value of partial perfect information.Decision analysis for resource allocation in health care.Systematic review of the use of computer simulation modeling of patient flow in surgical care.Health-state utility values in breast cancer.Development and validation of a cost-utility model for Type 1 diabetes mellitus.Cost-effectiveness analysis of treatments for chronic disease: using R to incorporate time dependency of treatment response.Some Health States Are Better Than Others: Using Health State Rank Order to Improve Probabilistic Analyses.Cost effectiveness of adalimumab in the treatment of patients with moderate to severe rheumatoid arthritis in Sweden.Dimensions of design space: a decision-theoretic approach to optimal research design.Linear regression metamodeling as a tool to summarize and present simulation model results.Continuous time simulation and discretized models for cost-effectiveness analysis.Economic evaluation of using a genetic test to direct breast cancer chemoprevention in white women with a previous breast biopsy.Modelling the cost effectiveness of interventions for osteoporosis: issues to consider.Value of Information: We've Got Speed, What More Do We Need?The combined analysis of uncertainty and patient heterogeneity in medical decision models.Uncertainty and patient heterogeneity in medical decision models.Simulation Modeling and Metamodeling to Inform National and International HIV Policies for Children and AdolescentsAccounting for Methodological, Structural, and Parameter Uncertainty in Decision-Analytic ModelsModeling Using Discrete Event SimulationUncertainty Analysis in Population-Based Disease Microsimulation Models
P2860
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P2860
Gaussian process modeling in conjunction with individual patient simulation modeling: a case study describing the calculation of cost-effectiveness ratios for the treatment of established osteoporosis.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Gaussian process modeling in c ...... t of established osteoporosis.
@en
type
label
Gaussian process modeling in c ...... t of established osteoporosis.
@en
prefLabel
Gaussian process modeling in c ...... t of established osteoporosis.
@en
P2093
P2860
P356
P1476
Gaussian process modeling in c ...... t of established osteoporosis.
@en
P2093
Chilcott JB
Stevenson MD
P2860
P304
P356
10.1177/0272989X03261561
P577
2004-01-01T00:00:00Z