Matched case control studies with random exposure effects

Sadeq R.  Chowdhury; C. A. Mcgilchrist

doi:10.1002/1521-4036(200106)43:3<271::AID-BIMJ271>3.0.CO;2-9

Matched case control studies with random exposure effects

Sadeq R. Chowdhury
, C. A. Mcgilchrist

National Centre for Epidemiology and Population Health

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

1 Citation (Scopus)

Abstract

A method for analysing matched case control data in presence of overdispersion or correlation between observations within matched sets is presented. A generalised linear mixed model approach is adapted to account for overdispersion by allowing random exposure effects. Expressions for the elements of the estimation equation are derived and a strategy for achieving efficiency in computing is discussed. Results from simulation studies and two applications are presented.

Original language	English
Pages (from-to)	271-281
Number of pages	11
Journal	Biometrical Journal
Volume	43
Issue number	3
DOIs	https://doi.org/10.1002/1521-4036(200106)43:3<271::AID-BIMJ271>3.0.CO;2-9
Publication status	Published - 2001

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10.1002/1521-4036(200106)43:3<271::AID-BIMJ271>3.0.CO;2-9

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abstract = "A method for analysing matched case control data in presence of overdispersion or correlation between observations within matched sets is presented. A generalised linear mixed model approach is adapted to account for overdispersion by allowing random exposure effects. Expressions for the elements of the estimation equation are derived and a strategy for achieving efficiency in computing is discussed. Results from simulation studies and two applications are presented.",

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AB - A method for analysing matched case control data in presence of overdispersion or correlation between observations within matched sets is presented. A generalised linear mixed model approach is adapted to account for overdispersion by allowing random exposure effects. Expressions for the elements of the estimation equation are derived and a strategy for achieving efficiency in computing is discussed. Results from simulation studies and two applications are presented.

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KW - Mixed models

KW - Random effects

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U2 - 10.1002/1521-4036(200106)43:3<271::AID-BIMJ271>3.0.CO;2-9

DO - 10.1002/1521-4036(200106)43:3<271::AID-BIMJ271>3.0.CO;2-9

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JO - Biometrical Journal

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Matched case control studies with random exposure effects

Abstract

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