Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates

Statistics in Medicine

Volumn 25, Issue 16, 2006, Pages 2784-2796

  Parzen, Michael ^a   Lipsitz, Stuart R ^b   Fitzmaurice, Garrett M ^c   Ibrahim, Joseph G ^d   Troxel, Andrea ^e  

^a EMORY UNIVERSITY   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF NORTH CAROLINA   (United States)

^e Mailman School of Public Health   (United States)

Author keywords

Incomplete data; Maximum likelihood; Repeated measures

Indexed keywords

AIR POLLUTION; ARTICLE; CHILD; CIGARETTE SMOKING; COMPUTER ANALYSIS; CONTROLLED STUDY; COVARIANCE; DATA ANALYSIS; FOLLOW UP; HEALTH HAZARD; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; NONRESPONSE BIAS; OUTCOMES RESEARCH; PROBABILITY; WHEEZING;

AIR POLLUTANTS; BIAS (EPIDEMIOLOGY); BIOMETRY; CHILD; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MOTHERS; RESPIRATORY SOUNDS; TOBACCO SMOKE POLLUTION; WISCONSIN;

EID: 33746871824     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2435     Document Type: Article

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