Multilevel pharmacokinetics-driven modeling of metabolomics data.

ABSTRACT:

Introduction

Multilevel modeling is a quantitative statistical method to investigate variability and relationships between variables of interest, taking into account population structure and dependencies. It can be used for prediction, data reduction and causal inference from experiments and observational studies allowing for more efficient elucidation of knowledge.

Objectives

In this study we introduced the concept of multilevel pharmacokinetics (PK)-driven modelling for large-sample, unbalanced and unadjusted metabolomics data comprising nucleoside and creatinine concentration measurements in urine of healthy and cancer patients.

Methods

A Bayesian multilevel model was proposed to describe the nucleoside and creatinine concentration ratio considering age, sex and he

SUBMITTER: Daghir-Wojtkowiak E 

PROVIDER: S-EPMC5306155 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature