We propose a modified version of the standard logrank test for surviva
l data in which the first contribution to the statistic is based on gr
ouping of data before a pre-selected grouping time. The grouping is ac
complished by artificially constructing the first table based on the p
roduct limit estimates of the proportions surviving at the grouping ti
me. Remaining contributions to the statistic are identical to that of
the standard logrank statistic. The approach has the advantage of bein
g uninfluenced by non-proportional hazards differences prior to the gr
ouping time while being almost as efficient as the usual logrank test
for proportional-hazards alternatives. The statistic is particularly u
seful for interim monitoring in situations where early difference betw
een treatments are unimportant and/or lagged treatment effects are ant
icipated. We report simulation studies to verify and investigate the t
est's properties. (C) 1997 by John Wiley & Sons, Ltd.