Two Sample Nonparametric Test under the Additive Hazards Model

• 발행기관: 한국자료분석학회
• 저자명: Seung-Man Hong Hyo-Il Park
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.11 No.1, 43~51쪽, 전체 9쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2009.02.28

영문 초록

In this study, we propose a nonparametric test procedure between two samples for comparing the hazard functions under the additive hazards model. In this study, we consider to deal with the grouped and right censored data. We derive the test statistic based on the maximum likelihood principle and convert it into the weighted log-rank statistic using the relation between the scores for the censored and uncensored observations. Then we comment briefly about the limiting distribution of the proposed test statistic under the null hypothesis. Then we illustrate our procedure with an example. Finally we discuss some peculiar aspects of our test as concluding remarks.

목차

1. Introduction

2. Derivation of test statistic

3. An example

4. Concluding remarks

References

키워드

additive model log-rank statistic two-sample problem