Reappraising medfly longevity: A quantile regression survival analysis

被引：171

作者：

Koenker, R ^{[1
]}

Geling, O

机构：

[1] Univ Illinois, Dept Econ, Champaign, IL 61820 USA

[2] Univ Illinois, Dept Stat, Champaign, IL 61820 USA

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 2001年 / 96卷 / 454期

关键词：

experimental demography; Lehmann treatment effect; mortality rates; quantile regression; survival analysis; transformation model;

D O I：

10.1198/016214501753168172

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article we explore the usefulness of a quantile regression formulation of reanalyzing a large experimental study that monitored age-specific mortality in a sample of roughly 1.2 million Mediterranean fruit flies. The quantile regression approach appears useful in refining several of the conclusions drawn from the original study including the apparent decline in mortality rates at advanced ages, and the gender crossover effect in survival functions for medflies.

引用

页码：458 / 468

页数：11

共 33 条

[1]

BASSETT G, 1982, J AM STAT ASSOC, V77, P407

[2]

Bennett S, 1983, Stat Med, V2, P273, DOI 10.1002/sim.4780020223

[3] An alternative estimator for the censored quantile regression model [J].