Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes

Computer Methods and Programs in Biomedicine

Volumn 91, Issue 2, 2008, Pages 122-127

  Dang, Qianyu ^a,b   Mazumdar, Sati ^a,b   Houck, Patricia R ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Clinical trials; GLIMMIX; Marginal quasi likelihood; Penalized quasi likelihood

Indexed keywords

COMPUTER SIMULATION; CORRELATION METHODS; LINEARIZATION; MATHEMATICAL MODELS;

BINARY OUTCOMES; RANDOM EFFECTS; VARIANCE ESTIMATES;

ELECTRIC POWER MEASUREMENT;

ACCURACY; ARTICLE; COMPUTER PROGRAM; COMPUTER SIMULATION; CORRELATION ANALYSIS; HYPOTHESIS; LONGITUDINAL STUDY; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; OUTCOME ASSESSMENT; SAMPLE SIZE; STATISTICAL MODEL;

ALGORITHMS; BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; LINEAR MODELS; LOGISTIC MODELS; MODELS, BIOLOGICAL; OUTCOME ASSESSMENT (HEALTH CARE); SAMPLE SIZE;

EID: 44949185343     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.03.001     Document Type: Article

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