Diagnostic tools for random effects in the repeated measures growth curve model
type: Item
instance of: scholarly article
title: Diagnostic tools for random effects in the repeated measures growth curve model
zbMATH Open document ID: 1019.62073
DOI: 10.1016/S0167-9473(99)00049-3
author: P. J. Lindsey
author: J. K. Lindsey
published in: Computational Statistics and Data Analysis
publication date: 2000-06-04T00:00:00Z
review text: Growth curve models assuming a normal distribution are often used in repeated measurements applications because of the wide availability of software. In many standard situations, a polynomial in time is fitted to describe the mean profiles under different treatments. The dependence among responses from the same individuals is generally handled by a random effects model, although an auto-regressive structure can often be more appropriate. We consider both, in the context of missing observations. We present diagnostics for two major problems: (1) the forms of the mixing distribution in random effects models, and their influence on inferences about treatment effects, and (2) the randomness of missing observations. To demonstrate the utility of our techniques, we reanalyze data on percentage protein content in milk, often erroneously analyzed as illustrating a dropout phenomenon.
Mathematics Subject Classification ID: 62J20
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 1454550
zbMATH Keywords: AIC
zbMATH Keywords: auto-regression
zbMATH Keywords: continuous AR
zbMATH Keywords: fixed effects
zbMATH Keywords: growth curve
zbMATH Keywords: individual profile plots
zbMATH Keywords: logistic distribution
zbMATH Keywords: missing values
zbMATH Keywords: random effects
zbMATH Keywords: recursive residuals
zbMATH Keywords: repeated measurements
zbMATH Keywords: stable distributions
describes a project that uses: R
MaRDI profile type: Publication
cites work: Q4769776
cites work: Q3999232
cites work: Informative Drop-Out in Longitudinal Data Analysis
cites work: Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
cites work: 203. Note: On Estimating Time-Response Curves
cites work: Estimation of Time-Response Curves and Their Confidence Bands
cites work: Q3136465
cites work: Dynamic Econometrics
cites work: Survival models for heterogeneous populations derived from stable distributions
cites work: Q4875372
cites work: Random-Effects Models for Longitudinal Data
cites work: Analysing Financial Returns by Using Regression Models Based on Non-Symmetric Stable Distributions
cites work: The analysis of stochastic processes using GLIM
cites work: Models for repeated measurements
cites work: Modeling the Drop-Out Mechanism in Repeated-Measures Studies
cites work: A generalized multivariate analysis of variance model useful especially for growth curve problems
cites work: Modelling in Repeated Measures Experiments
Wikidata QID: Q126548649
description: scientific article; zbMATH DE number 1454550