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What is Mixed Effects Model

Handbook of Research on Systems Biology Applications in Medicine
A statistical model containing random parameters that vary according to a hierarchy: an example would be between-subject variation and residual unknown variation in a population kinetic model. The mixed effects model is comprised of fixed effects and random effects, where the random effects are usually sampled from distributions whose central tendency and spread are fixed effects.
Published in Chapter:
The System for Population Kinetics: Open Source Software for Population Analysis
Paolo Vicini (University of Washington, USA)
Copyright: © 2009 |Pages: 16
DOI: 10.4018/978-1-60566-076-9.ch033
Abstract
This chapter describes the System for Population Kinetics (SPK), a novel Web service for performing population kinetic analysis. Population kinetic analysis is a widely-used tool for extracting information about the probability distributions of unknown parameters in kinetic models. The statistical population model is usually hierarchical, with a nested structure encompassing both variation between subjects and residual unexplained variation associated with the model predictions. The complexity of the analysis is largely driven by the nonlinearity of the models employed. Here, we provide a concise introduction to the topic and a historical perspective for the benefit of the reader who is new to these concepts. Next, we briefly describe the SPK open source system and its multi-tiered architecture, indicating the user goals it set to achieve and elucidating its practical usage with examples.
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