Publication Description
In many clinical trials, it is of interest to compare more than two populations with respect to multiple correlated end-points. In this paper, we present a multivariate rank test for the comparison of R-samples (R ≥ 2) with respect to multiple time-to-event outcomes as well as to repeated measures. We present a statistic that is a function of a linear combination of stochastic integrals and show that the large sample distribution of a vector of (R − 1)RK such stochastic integrals for K (K > 1) variates and R groups is asymptotically multivariate normal. We then describe an R-sample T2-like K-variate omnibus test similar to the Kruskal-Wallis test.