We review statistical methods for analysing healthcare resource use and costs, their ability
to address skewness, excess zeros, multimodality and heavy right tails, and their ease for …

This review examines the state of Bayesian thinking as Statistics in Medicine was launched
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …

Tail data are often modelled by fitting a generalized Pareto distribution (GPD) to the
exceedances over high thresholds. In practice, a threshold u is fixed and a GPD is fitted to …

This article provides an overview of the central issues regarding cost valuation and analysis
for a decision maker's evaluation of costing performed within randomized controlled trials …

Gamma shape mixtures for heavy-tailed distributions Page 1 The Annals of Applied
Statistics 2008, Vol. 2, No. 2, 756–776 DOI: 10.1214/07-AOAS156 © Institute of …

Modelling the tails of distributions is important in many fields, such as environmental
science, hydrology, insurance, engineering and finance, where the risk of unusually large or …

Introduction Common approaches in cost-effectiveness analyses do not adjust for
confounders. In nonrandomized studies this can result in biased results. Parametric models …

We consider the problem of assessing new and existing technologies for their cost‐
effectiveness in the case where data on both costs and effects are available from a clinical …

This paper develops models aimed at more accurate estimation of the medical cost function
based on the individual cost data. In our proposed models, the cost data are assumed to be …

We consider the problem of assessing new and existing technologies for their cost‐
effectiveness in the case where data on both costs and effects are available from a clinical …