Identifiability and estimation of causal effects in randomized trials with noncompliance and completely nonignorable missing data

Biometrics

Volumn 65, Issue 3, 2009, Pages 675-682

  Chen, Hua ^a,b,c   Geng, Zhi ^a   Zhou, Xiao Hua ^b,c  

^a PEKING UNIVERSITY   (China)

^b VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Causal inference; Identifiability; Maximum likelihood estimates; Missing data; Noncompliance; Nonignorable

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION; MEDICAL APPLICATIONS; PARAMETER ESTIMATION; SAMPLING;

CAUSAL INFERENCES; CONDITION; IDENTIFIABILITY; MAXIMUM-LIKELIHOOD ESTIMATE; MISSING DATA; NONCOMPLIANCE; NONIGNORABLE; PARAMETER IDENTIFIABILITY; RANDOMIZED CLINICAL TRIALS; RANDOMIZED TRIAL;

SENSITIVITY ANALYSIS;

FINITE DIFFERENCE METHOD; IDENTIFICATION METHOD; SENSITIVITY ANALYSIS;

ARTICLE; COVARIANCE; NONRESPONSE BIAS; RANDOMIZED CONTROLLED TRIAL; SAMPLING ERROR; SENSITIVITY ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS;

CAUSALITY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; MODELS, STATISTICAL; PATIENT COMPLIANCE; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SAMPLE SIZE;

EID: 70349239258     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01120.x     Document Type: Article

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