1st Edition
Value of Information for Healthcare Decision-Making
Chapter 1 Health Economic Modelling
Natalia Kunst, Christopher Jackson, Anna Heath
Chapter 2 A Case Study: A Novel Chemotherapy Treatment
Anna Heath, Natalia Kunst, Nicky J. Welton, Doug Coyle
Chapter 3 The Expected Value of Perfect or Partial Perfect Information
Christopher Jackson, Hawre Jalal, Anna Heath, Natalia Kunst, Howard Thom, Nicky J. Welton, Haitham Tuffaha, Edward C. F. Wilson
Chapter 4 The Expected Value of Sample Information
Anna Heath, Mark Strong, Christopher Jackson, Natalia Kunst, Nicky J. Welton, Hawre Jalal, Edward C. F. Wilson
Chapter 5 Reporting and Presenting Value of Information Analyses
Anna Heath, Natalia Kunst, Sabine Grimm
Chapter 6 Value of Information: Success Stories
Natalia Kunst, Edward C. F. Wilson, Haitham Tuffaha, Christopher Jackson, Nicky Welton, Hawre Jalal, Fernando Alarid-Escudero
Chapter 7 Value of Information for Estimation Instead of Decision Making
Christopher Jackson
Chapter 8 Structural Uncertainty and Value of Information
Christopher Jackson
Chapter 9 Rapid Value of Information using Minimal Modelling
Claire Rothery, David Glynn, Hendrik Koffijberg
Chapter 10 EVSI Portfolio Optimisation
Michael Fairley, Jeremy Goldhaber-Fiebert
Chapter 11 Assessing Value of Information Given Non-Optimal Previous Decisions
Doug Coyle, David Glynn, Jeremy Goldhaber-Fiebert, Edward C. F. Wilson
Chapter 12 Value of Information and Implementation
Sabine Grimm, Alan Brennan, Anna Heath
Biography
Dr. Anna Heath is a Scientist at The Hospital for Sick Children, with affiliations at the University of Toronto and University College London. Her research aims to develop innovative statistical methods to design, prioritise and analyse clinical research within a Bayesian framework, with a focus on Value of Information methods.
Dr. Christopher Jackson is a Senior Statistician at the Medical Research Council Biostatistics Unit at the University of Cambridge. He works on developing statistical methods with applications to population health, in particular, methods for combining different sources of data, Bayesian methods, survival and multistate models, and developing statistical software.
Dr. Natalia Kunst is a Senior Research Fellow at the Centre for Health Economics at the University of York, with additional affiliations at the Yale University Schools of Public Health and Medicine and Harvard Medical School & Harvard Pilgrim Health Care Institute. Dr. Kunst is a decision sciences and health economics researcher with interests in uncertainty and evidence in decision-analytic modelling and health economic evaluations, value of information analysis, and health disparities.
