Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling

2021 ◽  
Author(s):  
Anna Procopio ◽  
Alessio Merola ◽  
Carlo Cosentino ◽  
Salvatore De Rosa ◽  
Giovanni Canino ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Modeling ◽  
Mixed Effects Modeling

scholarly journals Effect ofSLCO1B1Polymorphisms on Rifabutin Pharmacokinetics in African HIV-Infected Patients with Tuberculosis

2015 ◽  
Vol 60 (1) ◽  
pp. 617-620 ◽  
Author(s):  
Stefanie Hennig ◽  
Suhashni Naiker ◽  
Tarylee Reddy ◽  
Deirdre Egan ◽  
Tracy Kellerman ◽  
...  
Keyword(s):  
Drug Exposure ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Modeling ◽  
Tuberculosis Patients ◽  
Host Genetics ◽  
Mixed Effects Modeling ◽  
Complex Interactions ◽  
Multiple Doses ◽  
Heterozygous Carriers

ABSTRACTRifabutin, used to treat HIV-infected tuberculosis, shows highly variable drug exposure, complicating dosing. Effects ofSLCO1B1polymorphisms on rifabutin pharmacokinetics were investigated in 35 African HIV-infected tuberculosis patients after multiple doses. Nonlinear mixed-effects modeling found that influential covariates for the pharmacokinetics were weight, sex, and a 30% increased bioavailability among heterozygous carriers ofSLCO1B1rs1104581 (previously associated with low rifampin concentrations). Larger studies are needed to understand the complex interactions of host genetics in HIV-infected tuberculosis patients. (This study has been registered at ClinicalTrials.gov under registration no. NCT00640887.)

scholarly journals Nonlinear mixed effects modeling of growth in Japanese quail

2013 ◽  
Vol 92 (7) ◽  
pp. 1942-1948 ◽  
Author(s):  
Emre Karaman ◽  
Dogan Narinc ◽  
Mehmet Ziya Firat ◽  
Tulin Aksoy
Keyword(s):  
Japanese Quail ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Modeling ◽  
Mixed Effects Modeling

scholarly journals Pharmacokinetic Similarity of Biologics: Analysis Using Nonlinear Mixed-Effects Modeling

2011 ◽  
Vol 91 (2) ◽  
pp. 234-242 ◽  
Author(s):  
A Dubois ◽  
S Gsteiger ◽  
S Balser ◽  
E Pigeolet ◽  
J L Steimer ◽  
...  
Keyword(s):  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Modeling ◽  
Mixed Effects Modeling

scholarly journals Characterization of intestinal absorption of C -glycoside flavonoid vicenin-2 from Lychnophora ericoides leafs in rats by nonlinear mixed effects modeling

2015 ◽  
Vol 25 (3) ◽  
pp. 212-218 ◽  
Author(s):  
Gabriela A. Buqui ◽  
Sherwin K.B. Sy ◽  
Matilde Merino-Sanjuán ◽  
Dayana R. Gouvea ◽  
Suzana L. Nixdorf ◽  
...  
Keyword(s):  
Intestinal Absorption ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Modeling ◽  
Mixed Effects Modeling

Estimating variation in field crew estimates of site index

1996 ◽  
Vol 26 (4) ◽  
pp. 560-565 ◽  
Author(s):  
Ronald E. McRoberts
Keyword(s):  
Repeated Measures ◽  
Site Index ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Red Maple ◽  
Height Measurement ◽  
Nonlinear Mixed Effects Modeling ◽  
Mixed Effects Modeling ◽  
Residual Variation ◽  
Index Curve

Variances of red maple (Acerrubrum L.) and yellow birch (Betulaalleghaniensis Britt.) site index estimates were determined using nonlinear mixed effects modeling procedures and simulations. Site index curves for each species were constructed using repeated height–age observations for individual trees and plot site index estimates. Plot site index was calculated by linearly interpolating between the height observations corresponding to age observations bracketing the index age for each tree and then averaging over trees. Nonlinear mixed effects modeling procedures were used to estimate the parameters of the site index curve model because of the longitudinal, repeated-measures nature of the height–age data. Plot site index variances were determined by simulating the procedure used by Forest Inventory and Analysis field crews of the USDA Forest Service North Central Forest Experiment Station. At least three site index trees per plot were necessary to consistently obtain 95% confidence intervals whose widths were within ±20% of means. Variation among site index trees, residual variation around estimated height–age curves, and errors in height measurement were the greatest contributors to variation in plot site index estimates. Because the effects of these sources of variation cannot be readily reduced, it is unlikely that the variances of site index estimates can be reduced.

Sign in / Sign up

Export Citation Format

Share Document