Linear and Nonlinear Models for the Analysis of Repeated Measurements
Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implement immediately the techniques.
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The Multivariate Analysis of Variance MANOVA Model
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The Generalized Multivariate Analysis of Variance GMANOVA Model
Linear MixedEffects Models for Repeated Measurements
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algorithm analysis applied approach assuming assumptions asymptotic Bayes estimator between-subject between-units factor Chapter coefficient compound symmetry concordance correlation conditional corresponding covariance matrix covariance structure crossover design defined degrees of freedom denote density described design matrix efficient EGLS estimator empirical Bayes estimating equations example experimental unit exponential family F-test growth curve model hypothesis testing independent inference intercept IRGLS least squares likelihood ratio test linear mixed-effects model linear model location parameters log-likelihood MANOVA model method of moments missing data MIXNLIN ML estimator multivariate noncentrality nonlinear mixed-effects model nonlinear regression normally distributed null objective function observations obtained pseudo pseudo-likelihood QELS random effects random-effects model REML estimates repeated measurements residuals respect response variable RM design sample sequence specified starting values statement subject-specific Table test statistic treatment groups two-stage Type I error unbiased estimator univariate variance components variance matrix variance-covariance matrix Vonesh and Carter Wishart distribution within-subject
Page 539 - JF (1984) Alternative approaches to estimation of population pharmacokinetic parameters; comparison with the nonlinear mixed effect model. Drug Metab. Rev., 15, 265-292, Steimer, JL, Mallet, A.