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Nonlinear mixed-effects modeling: individualization and prediction.
Aviation, space, and environmental medicine, 2004The development of biomathematical models for the prediction of fatigue and performance relies on statistical techniques to analyze experimental data and model simulations. Statistical models of empirical data have adjustable parameters with a priori unknown values.
Erik, Olofsen +2 more
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
exaly
Asymptotic Properties of Nonlinear Mixed-Effects Models
1997The asymptotic properties of four estimators for nonlinear mixed-effects models are investigated: maximum likelihood estimator (MLE), an estimator based on the first-order approximation to the expectation function (Vonesh and Carter (1992)),the two-stage, and the Lindstrom-Bates (1990) estimators. Two asymptotic situations are considered: (i) when N → ∞
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NONLINEAR MIXED EFFECTS MODELS: RECENT DEVELOPMENTS
Recent Advances in Statistical Methods, 2002PODURI S. R. S. RAO, NICHOLAS ZAINO
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
The Nonlinear Mixed Effects Model with a Smooth Random Effects Density
, 1993M. Davidian, A. Gallant
semanticscholar +1 more source
Modeling Nonlinear Longitudinal Change with Mixed Effects Models
2022Jeffrey R. Harring, Shelley A. Blozis
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