1. Auflage 2012,
244 Seiten, Gebunden, Format (B × H): 159 mm x 241 mm, Gewicht: 504 g
Reihe: Chapman & Hall/CRC Biostatistics Series
Verlag: Taylor & Francis Inc
Baio Bayesian Methods in Health EconomicsHealth economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.
Researchers and postgraduate students from biostatistics, clinical research, and the pharmaceutical industry.
Weitere Infos & Material
Introduction to Health Economic EvaluationIntroductionHealth economic evaluationCost componentsOutcomesDiscountingTypes of economic evaluationsComparing health interventionsIntroduction to Bayesian InferenceIntroductionSubjective probability and Bayes theoremBayesian (parametric) modellingChoosing prior distributions and Bayesian computationStatistical Cost-Effectiveness AnalysisIntroductionDecision theory and expected utilityDecision-making in health economicsProbabilistic sensitivity analysis to parameter uncertaintyReporting the results of probabilistic sensitivity analysisProbabilistic sensitivity analysis to structural uncertaintyAdvanced issues in cost-effectiveness analysisBayesian Analysis in PracticeIntroductionSoftware configurationAn Example of analysis in JAGS/BUGSLogical nodesFor loops and node transformationsPredictive distributionsModelling the cost-effectiveness of a new chemotherapy drug in R/JAGSHealth Economic Evaluation in PracticeCost-effectiveness analysis alongside clinical trialsEvidence synthesis and hierarchical modelsMarkov models