A new measure of association for bivariate survival data

被引：5

作者：

Nair, N. Unnikrishnan ^{[1
]}

Sankaran, P. G. ^{[1
]}

机构：

[1] Cochin Univ Sci & Technol, Dept Stat, Cochin 682022, Kerala, India

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2010年 / 140卷 / 09期

关键词：

Measure of association; Clayton's measure; Mean residual life function; Product moment residual life function; MEAN RESIDUAL LIFE; WEIGHTED DISTRIBUTIONS; DEPENDENCE; MODEL;

D O I：

10.1016/j.jspi.2010.03.019

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：

Time dependent association measures between variables are of interest in bivariate survival data. Several such measures have been proposed in literature for the modelling and analysis of survival data. In this paper, we introduce a new measure of association for bivariate survival data using product moment residual life function and mean residual life function. Various properties of the proposed measure and its relationship with existing measures are discussed. We also develop a non-parametric estimator of the measure and study its asymptotic properties. The application of the result is illustrated using a real life data. Finally, a stimulation study is carried out to assess the performance of the estimator. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：2569 / 2581

页数：13

共 50 条

[31] Estimation of the association for bivariate doubly censored data
Shen, Pao-sheng
[J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2013, 143 (03) : 630 - 636
[32] On assessing the association for bivariate current status data
Wang, WJ
Ding, AA
[J]. BIOMETRIKA, 2000, 87 (04) : 879 - 893
[33] A new method to measure spatial association for ecological count data
Perry, JN
Dixon, PM
[J]. ECOSCIENCE, 2002, 9 (02): : 133 - 141
[34] A NEW MEASURE OF ASSOCIATION
FRANCK, W
[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1991, 20 (09) : 3051 - 3070
[35] A Comparison of Frailty and Other Models for Bivariate Survival Data
Sujit K. Sahu
Dipak K. Dey
[J]. Lifetime Data Analysis, 2000, 6 : 207 - 228
[36] Nonparametric estimation of the bivariate survival function with truncated data
vanderLaan, MJ
[J]. JOURNAL OF MULTIVARIATE ANALYSIS, 1996, 58 (01) : 107 - 131
[37] Modeling heterogeneity for bivariate survival data by the Weibull distribution
David D. Hanagal
[J]. Statistical Papers, 2010, 51 : 947 - 958
[38] Modeling Bivariate Survival Data By Compound Frailty Distributions
Hanagal, David D.
Dabade, Alok D.
[J]. STATISTICS AND APPLICATIONS, 2023, 21 (02): : 301 - 318
[39] Correlated gamma frailty models for bivariate survival data
Hanagal, David D.
Pandey, Arvind
Ganguly, Ayon
[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2017, 46 (05) : 3627 - 3644
[40] Modeling heterogeneity for bivariate survival data by the Weibull distribution
Hanagal, David D.
[J]. STATISTICAL PAPERS, 2010, 51 (04) : 947 - 958

← 1 2 3 4 5 →