Mixed-effects nonlinear regression for unbalanced repeated measures.

E F Vonesh; R L Carter

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PubMed · 1581479

Mixed-effects nonlinear regression for unbalanced repeated measures.

E F Vonesh·R L Carter

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Abstract

Repeated measures data, such as clinical pharmacokinetic data, growth data, and dose-response data, are often inherently nonlinear with respect to a given response function and are frequently incomplete and/or unbalanced. Nonlinear random-effects models together with a variety of estimation procedures have been proposed for the analysis of such data. This paper is concerned with a straightforward procedure for estimating and comparing the parameters of a generalized mixed-effects nonlinear regression model. The asymptotic properties of the proposed estimators are given and large-sample tests of hypothesis provided. The results are applied to in vitro data on the water transport kinetics of hemodialyzers used in the treatment of patients with chronic renal failure.

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Biological Transport, Active Biometry Humans Kidneys, Artificial Kinetics Models, Statistical Regression Analysis Water Journal Article

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E F Vonesh, R L Carter. 1992. Mixed-effects nonlinear regression for unbalanced repeated measures.. https://pubmed.ncbi.nlm.nih.gov/1581479/

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