Balanced prior data

Hennig, Stefanie and Klein, Kerenaftali : Balanced prior data. The University of Queensland. Dataset. doi:10.14264/uql.2016.141

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Related Publications and Datasets
Project name Balanced Prior
Project description
The aim of this study was to develop a Bayesian modelling approach with balancing informative prior so that the influence of imbalance to the overall prediction could be minimised. The new approach was developed in order to weigh the data in favour of the smaller subset(s). The method was further evaluated in a motivating example of optimal dosage prediction of tobramycin.
This data set contains the demographics and the pharmacokinetic parameters used in this project.

Contact name Stefanie Hennig
Contact email
Creator name Hennig, Stefanie
Klein, Kerenaftali
Creator(s) role Chief Investigator
Data collector
Dataset name Balanced prior data
Dataset description
The dataset used for this study contained the estimated pharmacokinetic (PK) data after intravenous tobramycin administration to children and adults with and without cystic fibrosis, which was previously analysed using a mixed effects modelling approach [1]. Hence, the following two compartment PK parameters: individual clearance (CL), central volume of distribution (V1), distributional clearance (Q) and peripheral volume of distribution (V2) estimates for each patient were available. For the purpose of this study, these individual PK parameter estimates were considered as data.
From the whole dataset [1], only patients aged 1-25 years were included which resulted in data from 570 subjects (6.4 to 120 kg, 204 male patients) treated with tobramycin.
Included in the Balanced prior data set are:
ID (subejct identifier),
AGE (age in years),
WT (total body weight in kg),
CL (clearance of tobramycin from the central compartment),
V1 (volume of distribution of the central compartment),
Q (intercompartmental clearance), and
V2 (volume of distribution of the peripheral compartment).

Access conditions Open Access
Licencing and terms of access Creative Commons Attribution (only)

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ANZSRC Field of Research (FoR) Code 111502 Clinical Pharmacology and Therapeutics
DOI 10.14264/uql.2016.141
Type of data CVS file
Data Volume 19KB
Language eng
Collection start date 2013
Keyword Pharmocokinetics
Cystic Fibrosis
Clinical pharmacology
Collection type Dataset
Publisher The University of Queensland
Copyright notice 2016,The University of Queensland

Document type: Data Collection
Collections: Research Data Collections
School of Pharmacy Publications
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Tue, 29 Mar 2016, 20:16:16 EST by Dr Stefanie Hennig