Lin D Y
Department of Biostatistics, University of North Carolina, CB#7420, Chapel Hill, NC 27599-7420, USA.
Lifetime Data Anal. 2007 Dec;13(4):471-80. doi: 10.1007/s10985-007-9048-y. Epub 2007 Sep 2.
In his discussion of Cox's (1972) paper on proportional hazards regression, Breslow (1972) provided the maximum likelihood estimator for the cumulative baseline hazard function. This estimator is commonly used in practice. The estimator has also been highly valuable in the further development of Cox regression and semiparametric inference with censored data. The present paper describes the Breslow estimator and its tremendous impact on the theory and practice of survival analysis.
在讨论考克斯(1972年)关于比例风险回归的论文时,布雷斯洛(1972年)给出了累积基线风险函数的最大似然估计量。该估计量在实际中常用。在考克斯回归和含删失数据的半参数推断的进一步发展中,这个估计量也极具价值。本文描述了布雷斯洛估计量及其对生存分析理论与实践的巨大影响。