Regression analysis of restricted mean survival time based on pseudo-observations

被引：167
|
作者：
Andersen, PK
Hansen, MG
Klein, JP
机构：
[1] Univ Copenhagen, Dept Biostat, DK-2200 Copenhagen N, Denmark
[2] Med Coll Wisconsin, Div Biostat, Milwaukee, WI 53226 USA
来源：
LIFETIME DATA ANALYSIS | 2004年 / 10卷 / 04期
关键词：
censoring; hazard function; health economics; mean survival time; pseudo-observations; regression model; restricted mean survival time; survival analysis;
D O I：
10.1007/s10985-004-4771-0
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Regression models for survival data are often specified from the hazard function while classical regression analysis of quantitative outcomes focuses on the mean value (possibly after suitable transformations). Methods for regression analysis of mean survival time and the related quantity, the restricted mean survival time, are reviewed and compared to a method based on pseudo-observations. Both Monte Carlo simulations and two real data sets are studied. It is concluded that while existing methods may be superior for analysis of the mean, pseudo-observations seem well suited when the restricted mean is studied.
引用
收藏
页码：335 / 350
页数：16
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