Mixed effects logistic regression models for longitudinal binary response data with informative drop-out

Biometrics

Volumn 54, Issue 1, 1998, Pages 367-383

  Ten Have, Thomas R ^a   Kunselman, Allen R ^b   Pulkstenis, Erik P ^c   Landis, J Richard ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b PENN STATE COLLEGE OF MEDICINE   (United States)

^c CL McIntosh and Associates   (United States)

Author keywords

Approximate conditional; Normal random effects; Shared parameter

Indexed keywords

DATA HANDLING; DROPS; INFORMATION ANALYSIS; MEAN SQUARE ERROR; RANDOM PROCESSES;

APPROXIMATE CONDITIONAL; BINARY RESPONSE; CONFIDENCE INTERVAL; DROP-OUT; MEAN SQUARED ERROR; NORMAL RANDOM EFFECT; PARAMETER MODEL; RANDOM EFFECTS; RESPONSE DATA; SHARED PARAMETER;

REGRESSION ANALYSIS;

ARTICLE; DATA ANALYSIS; LONGITUDINAL STUDY; OUTCOMES RESEARCH; REGRESSION ANALYSIS; RESPONSE TIME; SIMULATION; SURVIVAL;

EID: 0031944647     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2534023     Document Type: Article

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