Estimation in longitudinal or panel data models with random-effect-based missing responses

Biometrics

Volumn 65, Issue 4, 2009, Pages 1175-1183

  Xu, Lei ^a   Shao, Jun ^b  

^a ELI LILLY AND COMPANY   (United States)

^b University of Wisconsin Madison   (United States)

Author keywords

Approximate summary statistics; Grouping; Nonignorable missing; Random effect based missing; Summary statistics; The ACM approach

Indexed keywords

RANDOM PROCESSES; SAMPLING; STATISTICS; TREES (MATHEMATICS);

APPROXIMATE SUMMARY STATISTIC; CONDITIONAL MODELS; GROUPING; NONIGNORABLE MISSING; RANDOM EFFECTS; RANDOM-EFFECT-BASED MISSING; SUMMARY STATISTIC; THE APPROXIMATE CONDITIONAL MODEL APPROACH;

POLYNOMIAL APPROXIMATION;

PARAMETERIZATION; STATISTICAL ANALYSIS;

ARTICLE; ASSAY; CLASSIFICATION; DIET; HUMAN; KIDNEY DISEASE; LONGITUDINAL STUDY; PANEL STUDY; PARAMETER; RANDOMIZATION; RESPONSE VARIABLE; SAMPLE; SIMULATION; STATISTICAL MODEL;

EID: 70450278709     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01195.x     Document Type: Article

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