Berry G, Kitchin R M, Mock P A
Department of Public Health, University of Sydney, N.S.W., Australia.
Stat Med. 1991 May;10(5):749-55. doi: 10.1002/sim.4780100510.
Two hazard ratio estimators based on the logrank test are investigated using a simulation study. The Pike estimator (ratio of relative death rates) was shown to be consistently less biased than the Peto (1-step) estimator. The latter has recently been advocated as the method of choice for point and interval estimation. Both estimators exhibited bias with increasing hazard ratios, although the bias was minimal for effects less than 3. The confidence intervals also did not achieve the nominal coverage with increasing hazard ratios, but again the Pike estimator was superior. The coverage could be improved by recalculation of the variance incorporating the point estimate. For a hazard ratio of less than 3 we recommend the use of the Pike estimator, otherwise it is necessary to use a more complex method of estimation.
通过模拟研究对基于对数秩检验的两种风险比估计方法进行了调查。结果表明,派克估计器(相对死亡率之比)的偏差始终小于佩托(一步法)估计器。后者最近被倡导为点估计和区间估计的首选方法。尽管对于小于3的效应偏差最小,但随着风险比的增加,两种估计器均表现出偏差。随着风险比的增加,置信区间也未达到名义覆盖率,但派克估计器同样更具优势。通过结合点估计重新计算方差,可以提高覆盖率。对于小于3的风险比,我们建议使用派克估计器,否则有必要使用更复杂的估计方法。