Efficiency of balanced treatment allocation for survival analysis.
We assess the efficiency of balanced treatment allocation methods in clinical trials for comparing treatments with respect to survival. We compare optimal designs for each of three standard survival analysis techniques (maximum partial likelihood estimation, log-rank test, exponential regression) with balanced designs, over a range of hypothetical trials. Although balanced designs are not optimal, we find them to be very efficient. In view of the high efficiency demonstrated in this and in a previous paper (Begg and Kalish, 1984, Biometrics 40, 409-420), and practical difficulties in implementing an optimal design, we recommend the use of balanced allocation methods in practice.
Kalish
L A
LA
Department of Biostatistics, Dana-Farber Cancer Institute, Boston, Massachusetts 02115.
Harrington
D P
DP
D002986:Clinical Trials as Topic / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D009026:Mortality; D012044:Regression Analysis; D012107:Research Design