The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed models

Biostatistics

Volumn 14, Issue 3, 2013, Pages 477-490

  Verbeke, Geert ^a,b   Molenberghs, Geert ^a,b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b HASSELT UNIVERSITY   (Belgium)

Author keywords

Directional derivative; Gradient; Latent variables; Mixed models; Random effects; Random effects distribution

Indexed keywords

ARTICLE; BIOSTATISTICS; DIRECTIONAL DERIVATIVE; GRADIENT; HUMAN; LATENT VARIABLES; LONGITUDINAL STUDY; MIXED MODELS; MULTIVARIATE ANALYSIS; NONLINEAR SYSTEM; ONYCHOMYCOSIS; RANDOM EFFECTS; RANDOM-EFFECTS DISTRIBUTION; RANDOMIZED CONTROLLED TRIAL (TOPIC); SKIN DISEASE; STATISTICAL MODEL; STATISTICS;

DIRECTIONAL DERIVATIVE; GRADIENT; LATENT VARIABLES; MIXED MODELS; RANDOM EFFECTS; RANDOM-EFFECTS DISTRIBUTION;

BIOSTATISTICS; FOOT DERMATOSES; HUMANS; LINEAR MODELS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NONLINEAR DYNAMICS; ONYCHOMYCOSIS; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 84879070676     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxs059     Document Type: Article

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