Performance evaluation of different computational methods to estimate Wood’s lactation curve by nonlinear mixed-effects models

DOI10.1080/03610918.2020.1804581OpenAlexW3047893590MaRDI QIDQ5055136

Luciana Carla Chiapella, María del Carmen Garcia

Publication date: 13 December 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1804581

zbMATH Keywords

incomplete gamma functionlongitudinal datanonlinear mixed-effects modelslactation curveWood's model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SAS
• MIXED
• PROC NLMIXED
• SAS/STAT
• SASmixed
• NLINMIX
• Phxnlme

Cites Work

• Two Taylor-series approximation methods for nonlinear mixed models
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• A Bayesian Approach to Nonlinear Random Effects Models
• The nonlinear mixed effects model with a smooth random effects density
• Laplace's approximation for nonlinear mixed models

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