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Statistical Analysis of Cost-Effectiveness Data
- Auteur(s) : Andrew R. Willan , Andrew H. Briggs
- Editeur : Wiley
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Nombre de pages : 216 pages
- Date de parution : 27/07/2006
Résumé
The statistical analysis of cost-effectiveness data is becoming increasingly important within health and medical research. Statistical Analysis of Cost-Effectiveness Data provides a practical book that synthesises the huge amount of research that has taken place in the area over the last two decades.
Comprising an up-to-date overview of the statistical analysis of cost-effectiveness data, the book is supported by numerous worked examples from the author's own experience. It has been written in a style suitable for medical statisticians and health care professionals alike. Key features include:
- an overview of statistical methods used in the analysis of cost-effectiveness data.
- coverage of Bayesian methodology.
- illustrated throughout by worked examples using real data.
- suitability for health care professionals with limited statistical knowledge.
- discussion of software used for data analysis.
An essential reference for biostatisticians and health economists engaged in cost-effectiveness analysis of health-care interventions, both in academia and industry. Also of interest to graduate students of biostatistics, public health and economics.
Sommaire
- Concepts
- Parameter Estimation for Non-censored Data
- Parameter Estimation for Censored Data
- Cost-effectiveness Analysis
- Cost-effectiveness Analysis: Examples
- Power and Sample Size Determination
- Covariate Adjustment and Sub-group Analysis
- Multicenter and Multinational Trials
- Modeling Cost-effectiveness
Caractéristiques
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Consultez aussi
- Tous les livres de la collection Statistics in Practice de l'éditeur Wiley
- Tous les livres de Andrew R. Willan
- Tous les livres de Andrew H. Briggs
- Info, photo... Nos interviews auteurs
Les thèmes associés
- Sciences > Mathématiques > Mathématiques appliquées > Statistiques
- Sciences > Mathématiques > Mathématiques appliquées > Mathématiques pour les sciences de la vie > Biostatistiques
- Sciences > Mathématiques > Mathématiques appliquées > Probabilités
- Sciences > Mathématiques > Mathématiques appliquées > Statistiques > Analyse de données
- Sciences > Sciences de la vie
- Sciences > Etudes et concours > Classes préparatoires et grandes écoles > Mathématiques










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