Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: Application to a smoking cessation trial

Statistics in Medicine

Volumn 33, Issue 17, 2014, Pages 3013-3028

  Siddique, Juned ^a   Harel, Ofer ^b   Crespi, Catherine M ^c   Hedeker, Donald ^d  

^a NORTHWESTERN UNIVERSITY   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Binary data; NMAR; Nonignorable; Not missing at random

Indexed keywords

ARTICLE; BINARY VARIABLE; CALCULATION; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; MATHEMATICAL COMPUTING; SIMULATION; SMOKING CESSATION; STATISTICAL CONCEPTS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; COMPUTER SIMULATION; PROCEDURES; UNCERTAINTY;

COMPUTER SIMULATION; HUMANS; MODELS, STATISTICAL; SMOKING CESSATION; UNCERTAINTY;

EID: 84903820681     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6137     Document Type: Article

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