In a study involving the statistical modeling of potential head injury tria
ls, we explore approaches to trial design that could enhance their power to
detect treatment-related effects on clinical outcome. The study uses a sur
vey organized by the European Brain Injury Consortium of over 1,000 head-in
jured patients to characterize the population from which trial participants
can be selected. A variety of models are postulated for the effects of "ne
uroprotective" treatment on outcome, and their interaction with a range of
strategies for targeting patients for inclusion in the trial is evaluated.
A very simple strategy of targeting patients with an intermediate prognosis
was found to allow a reduction in sample size by 30%, with no reduction in
statistical power. This paper illustrates an important methodology for stu
dying the characteristics of competing trial designs.