A comparison of imputation strategies in cluster randomized trials with missing binary outcomes

Statistical Methods in Medical Research

Volumn 25, Issue 6, 2016, Pages 2650-2669

  Caille, Agnès ^a,b,c,d   Leyrat, Clémence ^a,b,c   Giraudeau, Bruno ^a,b,c,d  

^a PARIS DESCARTES UNIVERSITY   (France)

^b INSERM   (France)

^c UNIVERSITY HOSPITAL OF TOURS   (France)

^d UNIVERSITÉ DE TOURS   (France)

Author keywords

cluster randomized trial; missing data; multiple imputation; outcome

Indexed keywords

IVERMECTIN; MALATHION;

ARTICLE; BAYES THEOREM; COMPARATIVE STUDY; CORRELATION COEFFICIENT; HOUSEHOLD; HUMAN; IMPUTATION STRATEGY; LOGISTIC REGRESSION ANALYSIS; OUTCOME ASSESSMENT; PEDICULOSIS CAPITIS; RANDOMIZED CONTROLLED TRIAL (TOPIC); SIMULATION; STATISTICAL ANALYSIS; ANATOMY AND HISTOLOGY; ANIMAL; DRUG EFFECTS; FEMALE; HAIR; MALE; PEDICULOSIS; PEDICULUS; PROCEDURES; STATISTICAL BIAS; STATISTICAL MODEL;

ANIMALS; BIAS; DATA INTERPRETATION, STATISTICAL; FEMALE; HAIR; HUMANS; IVERMECTIN; LICE INFESTATIONS; LOGISTIC MODELS; MALE; PEDICULUS; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 84995812333     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214530030     Document Type: Article

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