No consensus has yet been reached on how to analyse uncertainty in economic evaluation studies where individual patient data are available for costs and health effects. This paper summarises the available results regarding the analysis of uncertainty on the cost-effectiveness plane and argues...

How to obtain confidence intervals for cost-effectiveness ratios is complicated by the statistical problems to obtain a confidence interval for a ratio of random variables. Different approaches have been suggested in the literature, but no consensus has been reached. In this note we propose an...

This paper presents a method for estimation and test of firm-specific scale efficiency using data envelopment analysis (DEA). The use of a simple bootstrap algorithm is proposed to perform firm-specific inference for scale efficiency. An empirical application using Swedish hospital data is...

This paper presents a bootstrap approach to calculate confidence intervals for firm-specific Malmquist productivity indices obtained from data envelopment analysis (DEA) models. The bootstrap is easily implemented and allows identification of production units that have significant productivity...

Objective: To investigate the cost effectiveness of adding the beta-blocker bisoprolol to standard treatment in patients with congestive heart failure (CHF). Design and setting: A cost-effectiveness study was based on the Cardiac Insufficiency Bisoprolol Study II (CIBIS-II), a randomised...

Recently, a number of papers have brought up the issue of how to make cost-effectiveness (CE) studies stochastic, i.e. how to obtain confidence intervals for CE ratios. In this note we present a bootstrap procedure for estimating bias-corrected confidence intervals for CE ratios. The bootstrap...