Reparameterizing the pattern mixture model for sensitivity analyses under informative dropout

Biometrics

Volumn 56, Issue 4, 2000, Pages 1241-1248

  Daniels, Michael J ^a   Hogan, Joseph W ^b  

^a E005A Lagomarcino Hall   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

Aging research; Clinical trial; Identifiability; Intention to treat; Longitudinal data; Missing data; Muscle strength; Nonignorable nonresponse; Recombinant human growth hormone; Repeated measures; Selection bias

Indexed keywords

CLINICAL RESEARCH; MUSCLE; NORMAL DISTRIBUTION; SENSITIVITY ANALYSIS;

AGING RESEARCH; CLINICAL TRIAL; HUMAN GROWTH HORMONE; IDENTIFIABILITY; INTENTION TO TREAT; LONGITUDINAL DATA; MISSING DATA; MUSCLE STRENGTH; NONIGNORABLE NONRESPONSE; RECOMBINANT HUMAN GROWTH HORMONE; REPEATED MEASURES; SELECTION BIAS;

PARAMETERIZATION;

GROWTH HORMONE;

DATA ANALYSIS; MULTIVARIATE ANALYSIS; MUSCLE STRENGTH; REVIEW; STATISTICAL MODEL; STATISTICS;

EID: 0033636008     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.01241.x     Document Type: Review

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