Genetic analysis of growth curves using the SAEM algorithm
Genet. Sel. Evol., 38 6 (2006) 583-600
Published online: 2006-11-28
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Genetic analysis of body weight and growth curve parameters in Muzaffarnagari sheep of India
Ajoy Mandal, Indrajit Gayari, Hasan Baneh and David R. NotterJournal of Animal Breeding and Genetics 141 (4) 425 (2024)
https://doi.org/10.1111/jbg.12854
(2023)
https://doi.org/10.1101/2023.06.13.544713
Pharmacokinetic and pharmacodynamic analysis comparing diverse effects of detomidine, medetomidine, and dexmedetomidine in the horse: a population analysis
K. N. Grimsrud, S. Ait‐Oudhia, B. P. Durbin‐Johnson, D. M. Rocke, K. R. Mama, M. L. Rezende, S. D. Stanley and W. J. JuskoJournal of Veterinary Pharmacology and Therapeutics 38 (1) 24 (2015)
https://doi.org/10.1111/jvp.12139
Employing a Monte Carlo algorithm in expectation maximization restricted maximum likelihood estimation of the linear mixed model
K. Matilainen, E.A. Mäntysaari, M.H. Lidauer, I. Strandén and R. ThompsonJournal of Animal Breeding and Genetics 129 (6) 457 (2012)
https://doi.org/10.1111/j.1439-0388.2012.01000.x
Individual predictions based on nonlinear mixed modeling: application to prenatal twin growth
J.J. Stirnemann, A. Samson and J.C. ThalabardStatistics in Medicine 31 (18) 1986 (2012)
https://doi.org/10.1002/sim.5319
Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations
Sophie Donnet, Jean‐Louis Foulley and Adeline SamsonBiometrics 66 (3) 733 (2010)
https://doi.org/10.1111/j.1541-0420.2009.01342.x
Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects
X. Panhard, and A. SamsonBiostatistics 10 (1) 121 (2008)
https://doi.org/10.1093/biostatistics/kxn020