TY - JOUR
T1 - Sample sizes for comparing means of two lifetime distributions with type II censored data
T2 - Application in an aging intervention study
AU - Xiong, Chengjie
AU - Yan, Yan
AU - Ji, Ming
PY - 2003/6
Y1 - 2003/6
N2 - Sample size determination is a very important part of planning for clinical trials. Most clinical trials do not follow all their subjects to the terminal event, resulting in censored observations. This article presents a method of computing sample sizes required to achieve adequate statistical power to compare the means of two lifetime distributions when both samples are subject to type II censoring. Our approach is based on the location-scale family of log-transformed lifetime distributions as compared to that based on the log-rank test and the family of proportional hazards. Specific applications to log-normal distribution and Weibull distribution are also discussed.
AB - Sample size determination is a very important part of planning for clinical trials. Most clinical trials do not follow all their subjects to the terminal event, resulting in censored observations. This article presents a method of computing sample sizes required to achieve adequate statistical power to compare the means of two lifetime distributions when both samples are subject to type II censoring. Our approach is based on the location-scale family of log-transformed lifetime distributions as compared to that based on the log-rank test and the family of proportional hazards. Specific applications to log-normal distribution and Weibull distribution are also discussed.
KW - Location-scale family
KW - Lognormal distribution
KW - Maximum likelihood estimate (MLE)
KW - Proportional hazards
KW - Type II censoring
KW - Weibull distribution
UR - http://www.scopus.com/inward/record.url?scp=0038031023&partnerID=8YFLogxK
U2 - 10.1016/S0197-2456(02)00340-9
DO - 10.1016/S0197-2456(02)00340-9
M3 - Article
C2 - 12757994
AN - SCOPUS:0038031023
VL - 24
SP - 283
EP - 293
JO - Controlled Clinical Trials
JF - Controlled Clinical Trials
SN - 0197-2456
IS - 3
ER -