Modified Product-Limit Estimator via Period Analysis

被引：0

作者：

Kim, Jinheum ^{[1
]}

Ahn, Yoonok ^{[2
]}

机构：

[1] Univ Suwon, Dept Appl Stat, Gyeonggi Do 445743, South Korea

[2] Seoul Natl Univ, Coll Med, Dept Prevent Med, Seoul 110799, South Korea

来源：

KOREAN JOURNAL OF APPLIED STATISTICS | 2006年 / 19卷 / 03期

关键词：

Cancer registry data; Left truncation; Modified product-limit estimator; Period analysis;

D O I：

暂无

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：

Long-term survival rates are the most commonly used outcome measures for patients with cancer. However, traditional long-term survival statistics, which are derived by cohort analysis or complete analysis, essentially reflect the survival expectations of patients diagnosed many years ago. They are often outdated at the time they become available. In this article, we propose a modified product-limit method to obtain up-to-date estimates of long-term survival rates via a period analysis. The proposed method is illustrated with cancer registry data collected from January 1993 to December 1997.

引用

页码：395 / 406

页数：12

共 13 条

[1]

Ahn Y. O., 2002, IARC SCI PUBL, V155, P276

[2]

[Anonymous], 1926, REPORTS PUBLIC HLTH

[3] Use of period analysis for providing more up-to-date estimates of long-term survival rates:: empirical evaluation among 370 000 cancer patients in Finland [J].