Testing independence for bivariate current status data

A. Adam Ding; Weijing Wang

doi:10.1198/016214504000000142

Testing independence for bivariate current status data

A. Adam Ding^*, Weijing Wang

^*Corresponding author for this work

Institute of Statistics

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

This article develops a nonparametric procedure for testing marginal independence based on bivariate current status data. Asymptotic properties of the proposed tests are derived, and their finite-sample performance is studied via simulations. The method is applied to analyze data from a community-based study of cardiovascular epidemiology in Taiwan.

Original language	English
Pages (from-to)	145-155
Number of pages	11
Journal	Journal of the American Statistical Association
Volume	99
Issue number	465
DOIs	https://doi.org/10.1198/016214504000000142
State	Published - 1 Mar 2004

Keywords

Cochran–Mantel–Haenszel test
Epidemiology
Interval censoring
Lifetime data
Nonparametric analysis
Two-by-two table

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10.1198/016214504000000142

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title = "Testing independence for bivariate current status data",

abstract = "This article develops a nonparametric procedure for testing marginal independence based on bivariate current status data. Asymptotic properties of the proposed tests are derived, and their finite-sample performance is studied via simulations. The method is applied to analyze data from a community-based study of cardiovascular epidemiology in Taiwan.",

keywords = "Cochran–Mantel–Haenszel test, Epidemiology, Interval censoring, Lifetime data, Nonparametric analysis, Two-by-two table",

author = "Ding, {A. Adam} and Weijing Wang",

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AB - This article develops a nonparametric procedure for testing marginal independence based on bivariate current status data. Asymptotic properties of the proposed tests are derived, and their finite-sample performance is studied via simulations. The method is applied to analyze data from a community-based study of cardiovascular epidemiology in Taiwan.

KW - Cochran–Mantel–Haenszel test

KW - Epidemiology

KW - Interval censoring

KW - Lifetime data

KW - Nonparametric analysis

KW - Two-by-two table

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JO - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

IS - 465

ER -

Testing independence for bivariate current status data

Abstract

Keywords

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