Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable

Biometrics

Volumn 52, Issue 3, 1996, Pages 1071-1078

  Ibrahim, Joseph G ^a   Lipsitz, Stuart R ^b  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

EM algorithm; Generalized linear models; Nonignorable missing data

Indexed keywords

REGRESSION ANALYSIS;

COVARIATES; EM ALGORITHMS; ESTIMATING PARAMETERS; GENERALIZED LINEAR MODEL; INCOMPLETE DATA; LOGIT MODELS; MISSING DATA; NONIGNORABLE MISSING DATA; PARAMETERS ESTIMATION; REGRESSION MODELLING;

PARAMETER ESTIMATION;

ADULT; AIR POLLUTION; ALGORITHM; ARTICLE; CHILD; CIGARETTE SMOKING; CITY; COVARIANCE; DATA ANALYSIS; GEOGRAPHY; HUMAN; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; MOTHER CHILD RELATION; PARAMETER; REGRESSION ANALYSIS; STATISTICS; WHEEZING;

EID: 0029795665     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2533068     Document Type: Article

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