Growth curve analysis of complete and incomplete longitudinal data

DOI10.1080/03610928008827977zbMath0449.62048OpenAlexW1967139135MaRDI QIDQ3896374

Robert F. Woolson, James D. Leeper

Publication date: 1980

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928008827977

zbMATH Keywords

linear modelsreviewgrowth curve analysisincomplete data modeltables of relative efficienciesdesign of incomplete longitudinal studiesmixed longitudinal study

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (24)

M-methods in growth curve analysis ⋮ Testing hypotheses for the growth curve model when the data are incomplete ⋮ Moments of maximum likelihood estimators in the growth curve model ⋮ Residuals in the growth curve model ⋮ A monte carlo study of the power of alternative tests under the generalized manova model ⋮ Maximum Likelihood Estimators in a Two Step Model for PLS ⋮ A two-step PLS inspired method for linear prediction with group effect ⋮ Local influence assessment in the growth curve model with unstructured covariance ⋮ Linear sufficiency in a general growth curve model ⋮ Inference in the growth curve model under multivariate skew normal distribution ⋮ Equalities of various estimators in the general growth curve model and the restricted growth curve model ⋮ Distribution and Density Approximations of a Maximum Likelihood Estimator in the Growth Curve Model ⋮ Distribution and density approximation of the co variance matrix in the growth curve model ⋮ A mixed linear model with linear covariance structure: a sensitivity analysis of maximum likelihood estimators ⋮ Estimation in High-Dimensional Analysis and Multivariate Linear Models ⋮ On the best linear unbiased estimator and the linear sufficiency of a general growth curve model ⋮ Restricted expected multivariate least squares ⋮ On the weighted least-squares, the ordinary least-squares and the best linear unbiased estimators under a restricted growth curve model ⋮ Maximum likelihood estimators in multivariate linear normal models ⋮ On consistency, natural restrictions and estimability under classical and extended growth curve models ⋮ Estimating parameters in extended growth curve models with special covariance structures ⋮ Small-area estimation with missing data using a multivariate linear random effects model ⋮ Gauss-Markov and weighted least-squares estimation under a general growth curve model ⋮ The growth curve model: a review

Cites Work

• Asymptotic expansions of the non-nuu distributions of three statistics in GMANOVA
• On some tests of growth curve model under Behrens-Fisher situation
• A note on a Manova model applied to problems in growth curve
• A generalization of the growth curve model which allows missing data
• Testing some covariance structures under a growth curve model
• Some Statistical Methods for Comparison of Growth Curves
• Estimation of Time-Response Curves and Their Confidence Bands
• SOME PROBLEMS INVOLVING LINEAR HYPOTHESES IN MULTIVARIATE ANALYSIS
• Analysis of Incomplete Data from Longitudinal and Mixed Longitudinal Studies
• A Bayesian approach to growth curves
• 385: On a Design Problem in Growth Studies
• A note on the analysis of the manova model and its application to growth curves
• Generalized manova double linear hypothesis with double linear restrictions
• A note on Rao's reduction of Potthoff & Roy's generalized linear model
• A generalized multivariate analysis of variance model useful especially for growth curve problems
• Methods for Comparing Growth Type Curves
• The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
• Testing linear.hypotheses in generalized multivariate linear models

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