scholarly journals ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect

2011 ◽  
Vol 68 (6) ◽  
pp. 1085-1092 ◽  
Author(s):  
Petteri Packalén ◽  
Lauri Mehtätalo ◽  
Matti Maltamo
Keyword(s):  
Site Index ◽  
Mixed Effect Model ◽  
Mixed Effect ◽  
Eucalyptus Plantation ◽  
Nonlinear Mixed Effect Model ◽  
Nonlinear Mixed Effect ◽  
Effect Model

Bayesian multi-response nonlinear mixed-effect model: application of two recent HIV infection biomarkers

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Charlotte Castel ◽  
Cécile Sommen ◽  
Edouard Chatignoux ◽  
Yann Le Strat ◽  
Ahmadou Alioum
Keyword(s):  
Hiv Transmission ◽  
Real Data ◽  
Mixed Effect Model ◽  
Hiv Incidence ◽  
Mixed Effect ◽  
Nonlinear Mixed Effect Model ◽  
Nonlinear Mixed Effect ◽  
Effect Model ◽  
Recent Hiv Infection ◽  
The Impact

Abstract Since the discovery of the human immunodeficiency virus (HIV) 35 years ago, the epidemic is still ongoing in France. To monitor the dynamics of HIV transmission and assess the impact of prevention campaigns, the main indicator is the incidence. One method to estimate the HIV incidence is based on biomarker values at diagnosis and their dynamics over time. Estimating the HIV incidence from biomarkers first requires modeling their dynamics since infection using external longitudinal data. The objective of the work presented here is to estimate the joint dynamics of two biomarkers from the PRIMO cohort. We thus jointly modeled the dynamics of two biomarkers (TM and V3) using a multi-response nonlinear mixed-effect model. The parameters were estimated using Bayesian Hamiltonian Monte Carlo inference. This procedure was first applied to the real data of the PRIMO cohort. In a simulation study, we then evaluated the performance of the Bayesian procedure for estimating the parameters of multi-response nonlinear mixed-effect models.

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