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What is Fixed Effects

Handbook of Research on Systems Biology Applications in Medicine
In mixed effects models, these are features of the parameters that do not change across the population. Examples are the central tendency of distributions, or their spread around a certain mean.
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
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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Panel Data: A Case Study Analysis
Variables that are constant across individuals, i.e., do not change, or change at a constant rate over time (for example, age, sex, or ethnicity).
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Empirical Likelihood-Based Method for LME Models
In panel data analysis, the term fixed effects estimator is used to refer to an estimator for the coefficients in the regression model. If we assume fixed effects, we impose time independent effects for each entity that are possibly correlated with the regressors.
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