Multiple Comparisons With the Best Treatment

Multiple Comparisons with the Best ROC Curve

The accuracy of a medical diagnostic tool depends on its specificity, the probability that it classifies a normal person as normal, and its sensitivity, the probability that it classifies a diseased person as diseased. The receiver operating characteristic (ROC) curve of such a tool is its sensitivity plotted against (1 specificity) as the threshold defining “normal” versus “diseased” ranges ov...

Multiple Comparisons with the Best, with Economic Applications

Multiple Comparisons with the Best: Bayesian Precision Measures of Efficiency Rankings*

A large literature measures the allocative and technical efficiency of a set of firms using econometric techniques to estimate stochastic production frontiers or distance functions. Typically, researchers compute only the precision of individual efficiency rankings. Recently, Horrace and Schmidt (2000) have applied sampling theoretic statistical techniques known as multiple comparisons with a c...

Multiple Comparisons with the Best Using Common Random Numbers for Steady-State Simulations

Suppose that there are k ≥ 2 different systems (i.e., stochastic processes), where each system has an unknown steady-state mean performance. We consider the problem of running a singlestage simulation using common random numbers to construct simultaneous confidence intervals for μi − maxj 6=i μj , i = 1, 2, . . . , k. This is known as multiple comparisons with the best (MCB). Under an assumptio...

Multiple treatment comparisons in epilepsy monotherapy trials

BACKGROUND The choice of antiepileptic drug for an individual should be based upon the highest quality evidence regarding potential benefits and harms of the available treatments. Systematic reviews and meta-analysis of randomised controlled trials should be a major source of evidence supporting this decision making process. We summarise all available individual patient data evidence from rando...