Marginal modeling of multilevel binary data with time-varying covariates

Diana L Miglioretti; Patrick J. Heagerty

doi:10.1093/biostatistics/kxg042

Marginal modeling of multilevel binary data with time-varying covariates

Diana L Miglioretti, Patrick J. Heagerty

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

52 Scopus citations

Abstract

We propose and compare two approaches for regression analysis of multilevel binary data when clusters are not necessarily nested: a GEE method that relies on a working independence assumption coupled with a three-step method for obtaining empirical standard errors, and a likelihood-based method implemented using Bayesian computational techniques. Implications of time-varying endogenous covariates are addressed. The methods are illustrated using data from the Breast Cancer Surveillance Consortium to estimate mammography accuracy from a repeatedly screened population.

Original language	English (US)
Pages (from-to)	381-398
Number of pages	18
Journal	Biostatistics
Volume	5
Issue number	3
DOIs	https://doi.org/10.1093/biostatistics/kxg042
State	Published - Jul 2004
Externally published	Yes

Keywords

Conditional
Endogeneity
Hierarchical models
Longitudinal data
Marginal
Transition models

ASJC Scopus subject areas

Medicine(all)
Statistics and Probability
Statistics, Probability and Uncertainty

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AB - We propose and compare two approaches for regression analysis of multilevel binary data when clusters are not necessarily nested: a GEE method that relies on a working independence assumption coupled with a three-step method for obtaining empirical standard errors, and a likelihood-based method implemented using Bayesian computational techniques. Implications of time-varying endogenous covariates are addressed. The methods are illustrated using data from the Breast Cancer Surveillance Consortium to estimate mammography accuracy from a repeatedly screened population.

KW - Conditional

KW - Endogeneity

KW - Hierarchical models

KW - Longitudinal data

KW - Marginal

KW - Transition models

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JO - Biostatistics

JF - Biostatistics

SN - 1465-4644

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ER -

Marginal modeling of multilevel binary data with time-varying covariates

Abstract

Keywords

ASJC Scopus subject areas

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