Missing Exposure Data in Stereotype Regression Model: Application to Matched Case-Control Study with Disease Subclassification

Biometrics

Volumn 67, Issue 2, 2011, Pages 546-558

  Ahn, Jaeil ^a   Mukherjee, Bhramar ^a   Gruber, Stephen B ^a   Sinha, Samiran ^b  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Conditional likelihood; Nonignorable missingness; Proportional odds; Stages of cancer; Vector generalized linear model

Indexed keywords

BAYESIAN NETWORKS; DIAGNOSIS; DISEASE CONTROL; REGRESSION ANALYSIS;

CASE-CONTROL STUDY; CONDITIONAL LIKELIHOOD; EXPOSURE DATA; GENERALIZED LINEAR MODEL; MISSING DATA; NONIGNORABLE MISSINGNESS; PROPORTIONAL ODD; REGRESSION MODELLING; STAGE OF CANCER; VECTOR GENERALIZED LINEAR MODEL;

DISEASES;

ALGORITHM; BAYESIAN ANALYSIS; CANCER; DATA SET; DISEASE PREVALENCE; DISEASE VECTOR; MONTE CARLO ANALYSIS; NONLINEARITY; NUMERICAL MODEL; OBSERVATIONAL METHOD; REGRESSION ANALYSIS;

EID: 79959340396     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01453.x     Document Type: Article

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