Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, Iran.
Comput Math Methods Med. 2012;2012:639124. doi: 10.1155/2012/639124. Epub 2012 May 29.
The complementary log-log is an alternative to logistic model. In many areas of research, the outcome data are continuous. We aim to provide a procedure that allows the researcher to estimate the coefficients of the complementary log-log model without dichotomizing and without loss of information. We show that the sample size required for a specific power of the proposed approach is substantially smaller than the dichotomizing method. We find that estimators derived from proposed method are consistently more efficient than dichotomizing method. To illustrate the use of proposed method, we employ the data arising from the NHSI.
互补对数-log 是逻辑模型的一种替代方法。在许多研究领域中,结果数据是连续的。我们旨在提供一种程序,允许研究人员在不进行二分法且不丢失信息的情况下估计互补对数-log 模型的系数。我们表明,为了达到特定功效,所提出方法所需的样本量明显小于二分法。我们发现,所提出方法的估计量比二分法更有效。为了说明所提出方法的使用,我们采用 NHSI 产生的数据。