An assessment of estimation methods for generalized linear mixed models with binary outcomes

Statistics in Medicine

Volumn 32, Issue 26, 2013, Pages 4550-4566

  Capanu, Marinela ^a   Gönen, Mithat ^a   Begg, Colin B ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

Bayesian; Binary clustered data; Generalized linear mixed models; Laplace; PQL; Pseudo likelihood

Indexed keywords

ALGORITHM; ANALYSIS OF COVARIANCE; ARTICLE; BAYES THEOREM; BIOMETRY; DATA ANALYSIS; DIAGNOSTIC ACCURACY; HEAD AND NECK SQUAMOUS CELL CARCINOMA; HUMAN; MATHEMATICAL ANALYSIS; NONHUMAN; NORMAL DISTRIBUTION; PROBABILITY; PROGNOSIS; PSEUDOLIKELIHOOD METHOD; REGRESSION ANALYSIS; SALAMANDER; SEX DIFFERENCE; SIMULATION; STATISTICAL MODEL; ADOLESCENT; ADULT; ANIMAL; CARCINOMA, SQUAMOUS CELL; COMPUTER SIMULATION; FEMALE; GUATEMALA; HEAD AND NECK NEOPLASMS; MALE; NEOPLASM RECURRENCE, LOCAL; PREGNANCY; RADIOGRAPHY; RURAL POPULATION; SEXUAL BEHAVIOR; URODELA; YOUNG ADULT;

ADOLESCENT; ADULT; ANIMALS; BAYES THEOREM; CARCINOMA, SQUAMOUS CELL; COMPUTER SIMULATION; FEMALE; GUATEMALA; HEAD AND NECK NEOPLASMS; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MALE; NEOPLASM RECURRENCE, LOCAL; PREGNANCY; RURAL POPULATION; SEXUAL BEHAVIOR, ANIMAL; URODELA; YOUNG ADULT;

EID: 84885418463     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5866     Document Type: Article

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