scholarly journals Parameter estimation of population pharmacokinetics of tobramycin in newborn infants, children, and obese children, and its application to individualizing optimal therapy in newborn infants by the bayesian method.

1989 ◽  
Vol 20 (3) ◽  
pp. 573-580
Author(s):  
Ryo MATSUSHITA ◽  
Yoshiharu DEGUCHI ◽  
Emi NAKASHIMA ◽  
Fujio ICHIMURA ◽  
Noboru TANIGUCHI ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Population Pharmacokinetics ◽  
Bayesian Method ◽  
Newborn Infants ◽  
Obese Children ◽  
Optimal Therapy

Reliability Analysis of Vehicle Equipment Based on Bayesian Method

2012 ◽  
Vol 253-255 ◽  
pp. 2091-2096
Author(s):  
Yan Feng Tang ◽  
Hui Mei Li ◽  
Xiang Kai Liu ◽  
Shao Qing Liu
Keyword(s):  
Parameter Estimation ◽  
Data Processing ◽  
Reliability Analysis ◽  
Bayesian Method ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Model Based ◽  
Selection Of

Bayesian method was introduced and leaded into the vehicle fault data processing. The parameter estimation and the selection of the optimal distribution model based on Bayesian method were studied, and an example was given. The references are provided for the application of Bayesian method in the large complicated systems, such as vehicle equipments.

scholarly journals Population Pharmacokinetics of Ciprofloxacin in Neonates and Young Infants Less than Three Months of Age

2014 ◽  
Vol 58 (11) ◽  
pp. 6572-6580 ◽  
Author(s):  
Wei Zhao ◽  
Helen Hill ◽  
Chantal Le Guellec ◽  
Tim Neal ◽  
Sarah Mahoney ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
Newborn Infants ◽  
Compartment Model ◽  
Population Pharmacokinetic Analysis ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Studies ◽  
Dosing Regimen ◽  
Creatinine Concentration ◽  
Young Infants

ABSTRACTCiprofloxacin is used in neonates with suspected or documented Gram-negative serious infections. Currently, its use is off-label partly because of lack of pharmacokinetic studies. Within the FP7 EU project TINN (Treat Infection in NeoNates), our aim was to evaluate the population pharmacokinetics of ciprofloxacin in neonates and young infants <3 months of age and define the appropriate dose in order to optimize ciprofloxacin treatment in this vulnerable population. Blood samples were collected from neonates treated with ciprofloxacin and concentrations were quantified by high-pressure liquid chromatography–mass spectrometry. Population pharmacokinetic analysis was performed using NONMEM software. The data from 60 newborn infants (postmenstrual age [PMA] range, 24.9 to 47.9 weeks) were available for population pharmacokinetic analysis. A two-compartment model with first-order elimination showed the best fit with the data. A covariate analysis identified that gestational age, postnatal age, current weight, serum creatinine concentration, and use of inotropes had a significant impact on ciprofloxacin pharmacokinetics. Monte Carlo simulation demonstrated that 90% of hypothetical newborns with a PMA of <34 weeks treated with 7.5 mg/kg twice daily and 84% of newborns with a PMA ≥34 weeks and young infants receiving 12.5 mg/kg twice daily would reach the AUC/MIC target of 125, using the standard EUCAST MIC susceptibility breakpoint of 0.5 mg/liter. The associated risks of overdose for the proposed dosing regimen were <8%. The population pharmacokinetics of ciprofloxacin was evaluated in neonates and young infants <3 months old, and a dosing regimen was established based on simulation.

scholarly journals A modified extended Bayesian method for parameter estimation

2007 ◽  
Vol 12 (5) ◽  
pp. 546-553 ◽  
Author(s):  
Masheng Zhou ◽  
Yiqian Li ◽  
Zhihai Xiang ◽  
G. Swoboda ◽  
Zhangzhi Cen
Keyword(s):  
Parameter Estimation ◽  
Bayesian Method

scholarly journals Estimation of Beta Regression Model with Applied Study

2016 ◽  
Vol 12 (11) ◽  
pp. 6773-6777
Author(s):  
Hanaa Abd El Reheem Salem
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Regression Model ◽  
Bayesian Method ◽  
Numerical Study ◽  
Regression Coefficients ◽  
Beta Regression ◽  
Applied Study ◽  
The Mean ◽  
Beta Regression Model

This paper proposes a regression model where the dependent variable is beta distributed. Therefore the observations of the dependent variable must fall within (0,1) interval. This beta regression model produces two regression coefficients: one for the model of the mean and one for the model of the dispersion. Parameter estimation is performed by maximum likelihood and Bayesian method. Finally, numerical study is presented.

scholarly journals Model Informed Development of VRC01 in Newborn Infants Using a Population Pharmacokinetics Approach

2020 ◽  
Vol 109 (1) ◽  
pp. 184-192
Author(s):  
Jerry Li ◽  
Mina Nikanjam ◽  
Coleen K. Cunningham ◽  
Elizabeth J. McFarland ◽  
Emily E. Coates ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
Newborn Infants
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