A scaled linear mixed model for multiple outcomes

Biometrics

Volumn 56, Issue 2, 2000, Pages 593-601

  Lin, Xihong ^a   Ryan, Louise ^b   Sammel, Mary ^c   Zhang, Daowen ^d   Padungtod, Chantana ^b   Xu, Xiping ^b  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Asymptotic relative efficiency; Effect sizes; Estimating equations; Global effect; Maximum likelihood

Indexed keywords

RANDOM PROCESSES;

ASYMPTOTIC RELATIVE EFFICIENCY; EFFECT SIZE; ESTIMATING EQUATIONS; EXPOSURE EFFECTS; GLOBAL EFFECTS; LINEAR MIXED MODELS; MA XIMUM LIKELIHOODS; MAXIMUM LIKELIHOOD METHODS; MAXIMUM-LIKELIHOOD; WORKING PARAMETERS;

MAXIMUM LIKELIHOOD;

PESTICIDE;

ARTICLE; HUMAN; INTERMETHOD COMPARISON; MALE; OCCUPATIONAL EXPOSURE; OUTCOMES RESEARCH; PROBABILITY; SEMEN ANALYSIS; STATISTICAL MODEL;

EID: 0033919666     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.00593.x     Document Type: Article

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