Generalized linear mixed models for binary data: Are matching results from penalized quasi-likelihood and numerical integration less biased?

PLoS ONE

Volumn 9, Issue 1, 2014, Pages

  Benedetti, Andrea ^a,b   Platt, Robert ^a   Atherton, Juli ^c  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; DATA PROCESSING; GAUSSIAN HERMITE QUADRATURE; LINEAR REGRESSION ANALYSIS; PENALIZED QUASI LIKELIHOOD; SIMULATION; SYSTEM ANALYSIS;

ALGORITHMS; BIAS (EPIDEMIOLOGY); LIKELIHOOD FUNCTIONS; LINEAR MODELS; PROBABILITY; STATISTICS AS TOPIC;

EID: 84897490905     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0084601     Document Type: Article

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