A New One-Sample Log-Rank TestJianrong Wu*
Department of Biostatistics, St. Jude Children’s Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA
- *Corresponding Author:
- Jianrong Wu
Department of Biostatistics
St. Jude Children's Research Hospital
262 Danny Thomas Place, Memphis
TN 38105, USA
E-mail: [email protected]
Received date: July 30, 2014; Accepted date: August 15, 2014; Published date: August 20, 2014
Citation: Wu J (2014) A New One-Sample Log-Rank Test. J Biomet Biostat 5:210. doi:10.4172/2155-6180.1000210
Copyright: © 2014 Wu J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are are credited.
The one-sample log-rank test has been frequently used by epidemiologists to compare the survival of a sample to that of a demographically matched standard population. Recently, several researchers have shown that the one-sample log-rank test is conservative. In this article, a modified one-sample log-rank test is proposed and a sample size formula is derived based on its exact variance. Simulation results showed that the proposed test preserves the type I error well and is more efficient than the original one-sample log-rank test.