Parmigiani, Giovanni Modeling in Medical Decision Making A Bayesian Approach Statistics in Practice
1. Edition - January 2002 112.- Euro 2002. XII, 268 Pages, Hardcover - Handbook/Reference Book - ISBN-10: 0-471-98608-9 ISBN-13: 978-0-471-98608-9 - John Wiley & Sons
Short description Recent progress in fast, parallel computing and in simulation-based inference has lead to the development of extremely powerful statistical tools. These can now be successfully applied to address the most pressing practical and ethical concerns arising from medical decision problems. This book provides an interdisciplinary perspective focusing exclusively on simulation-based Bayesian statistical methods and their use in medical decision making.
From the contents Preface.
PART I: METHODS.
1. Inference.
Summary.
Medical Diagnosis.
Genetic Counseling.
Estimating sensitivity and specificity.
Chronic disease modeling.
2. Decision making.
Summary.
Foundations of expected utility theory.
Measuring the value of avoiding a major stroke.
Decision making in health care.
Cost-effectiveness analyses in the SPPM.
Statistical decision problems.
3. Simulation.
Summary.
Inference via simulation.
Prediction and expected utility via simulation.
Sensitivity analysis via simulation.
Searching for strategies via simulation.
Part II: CASE STUDIES.
4. Meta-analysis.
Summary.
Meta-analysis.
Bayesian meta-analysis.
Tamoxifen in early breast cancer.
Combined studies with continuous and dichotomous responses.
Migraine headache.
5. Decision trees.
Summary.
Axillary lymph node dissection in early breast cancer.
