On the impact of parametric assumptions and robust alternatives for longitudinal data analysis

Biometrical Journal

Volumn 51, Issue 4, 2009, Pages 627-643

  Lu, Naiji ^a,b,c   Tang, Wan ^a,b   He, Hua ^a,b,c   Yu, Qin ^a   Crits Christoph, Paul ^d   Zhang, Hui ^a   Tu, Xin ^a,b,c  

^a UNIVERSITY OF ROCHESTER   (United States)

^b UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^c Center of Excellence   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Augmented weighted generalized estimating equations; Double robust estimate; Missing at random; Surrogacy assumption; Weighted generalized estimating equations

Indexed keywords

AUGMENTED WEIGHTED GENERALIZED ESTIMATING EQUATION; DOUBLE ROBUST ESTIMATE; GENERALIZED ESTIMATING EQUATIONS; LINEAR MIXED-EFFECTS MODEL; MISSING AT RANDOMS; MISSING DATA; ROBUST ESTIMATE; SURROGACY ASSUMPTION; WEIGHTED GENERALIZED ESTIMATING EQUATION;

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; LONGITUDINAL STUDY; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; LONGITUDINAL STUDIES; MODELS, BIOLOGICAL; MODELS, STATISTICAL; SAMPLE SIZE;

EID: 70350711916     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200800186     Document Type: Article

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