| Description |
1 online resource (301 pages) |
| Series |
Chapman and Hall/CRC Biostatistics Ser |
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Chapman and Hall/CRC Biostatistics Ser
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| Contents |
Cover; Half Title; Series Page; Title Page; Copyright Page; Dedication; Contents; Preface; Authors; 1. Health economics evaluation; 1.1 Introduction; 1.2 Conventional types of economic evaluation; 1.3 The variables of cost-effectiveness analysis; 1.4 Sources of uncertainty in cost-effectiveness analysis; 1.5 Conventional tools for cost-effectiveness analysis; 1.5.1 The incremental cost-effectiveness ratio; 1.5.2 The incremental net benefit; 1.5.3 Cost-effectiveness acceptability curve; 1.5.4 Conventional subgroup analysis; 1.6 An outline of Bayesian cost-effectiveness analysis |
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2. Statistical inference in parametric models2.1 Introduction; 2.2 Parametric sampling models; 2.2.1 The likelihood function; 2.2.2 Likelihood sets; 2.2.3 The maximum likelihood estimator; 2.2.3.1 Proving consistency and asymptotic normality; 2.2.4 Reparametrization to a subparameter; 2.3 Parametric Bayesian models; 2.3.1 Subjective priors; 2.3.2 Conjugate priors; 2.3.3 Objective priors; 2.4 The predictive distribution; 2.5 Bayesian model selection; 2.5.1 Intrinsic priors for model selection; 2.6 The normal linear model; 2.6.1 Maximum likelihood estimators; 2.6.2 Bayesian estimators |
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2.6.3 An outline of variable selection3. Statistical decision theory; 3.1 Introduction; 3.2 Elements of a decision problem; 3.2.1 Ordering rewards; 3.2.2 Lotteries; 3.2.3 The utility function; 3.3 Axioms for the existence of the utility function; 3.4 Criticisms of the utility function; 3.5 Lotteries that depend on a parameter; 3.5.1 The minimax strategy; 3.5.2 The Bayesian strategy; 3.5.3 Comparison; 3.6 Optimal decisions in the presence of sampling information; 3.6.1 The frequentist procedure; 3.6.2 The Bayesian procedure; 4. Cost-effectiveness analysis: Optimal treatments; 4.1 Introduction |
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4.2 The net benefit of a treatment4.3 Utility functions of the net benefit; 4.3.1 The utility function; 4.3.1.1 Interpretation of the expected utility; 4.3.2 The utility function; 4.3.2.1 Interpretation of the expected utility; 4.4 Penalizing a new treatment; 4.5 Parametric classes of probabilistic rewards; 4.5.1 Frequentist predictive distribution of the net benefit; 4.5.2 Bayesian predictive distribution of the net benefit; 4.6 Statistical models for cost and effectiveness; 4.6.1 The normal-normal model; 4.6.2 The lognormal-normal model; 4.6.3 The lognormal-Bernoulli model |
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4.6.4 The bivariate normal model4.6.5 The dependent lognormal-Bernoulli model; 4.7 A case study; 4.8 The cost-effectiveness acceptability curve for the utility function; 4.8.1 The case of completely unknown rewards; 4.8.2 The case of parametric rewards; 4.9 The cost-effectiveness acceptability curve for the utility function; 4.10 Comments on cost-effectiveness acceptability curve; 5. Cost-effectiveness analysis for heterogeneous data; 5.1 Introduction; 5.2 Clustering; 5.2.1 Prior distributions; 5.2.2 Posterior distribution of the cluster models; 5.2.3 Examples; 5.3 Bayesian meta-analysis |
| Notes |
5.3.1 The Bayesian meta-model |
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Print version record |
| Subject |
Bayesian statistical decision theory.
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Therapeutics.
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Therapeutics
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treating (health care function)
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Bayesian statistical decision theory
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Therapeutics
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| Form |
Electronic book
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| Author |
Vazquez-Polo, Francisco Jose
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Negrín-Hernández, Miguel Angel
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| ISBN |
9781351744379 |
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1351744372 |
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