title: ITT analysis of randomized encouragement design studies with missing data.
abstract: In this paper, we considered a missing outcome problem in causal inferences for a randomized encouragement design study. We proposed both moment and maximum likelihood estimators for the marginal distributions of potential outcomes and the local complier average causal effect (CACE) parameter. We illustrated our methods in a randomized encouragement design study on the effectiveness of flu shots.
authors.affiliation: Veterans Affairs Puget Sound Health Care System, Metropolitan Park West, 1100 Olive Way # 1400, Seattle, WA, USA.
authors.forename: Xiao-Hua
authors.initials: XH
authors.lastname: Zhou
authors.forename: Sierra M
authors.initials: SM
authors.lastname: Li
mesh_terms: D001699:Biometry; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D007252:Influenza Vaccines / Q000008:administration & dosage; D007251:Influenza, Human / Q000453:epidemiology / Q000517:prevention & control; D016013:Likelihood Functions; D009017:Morbidity; D016032:Randomized Controlled Trials as Topic / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D007252:Influenza Vaccines