PRESS model selection in repeated measures data.
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Publication:1606462
DOI10.1016/S0167-9473(98)00088-7zbMath1061.62539WikidataQ126297283 ScholiaQ126297283MaRDI QIDQ1606462
Neil S. Wenger, Robert E. Weiss, Honghu Liu, Robert I. Jennrich
Publication date: 24 July 2002
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Cross-validationCorrelated errorsLinear mixed effects modelPivotingPredicted residual sum of squares
Related Items (3)
Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations ⋮ Fixed-effect variable selection in linear mixed models using \(R^2\) statistics ⋮ Predictive performance of linear regression models
Uses Software
Cites Work
- Random-Effects Models for Longitudinal Data
- Estimating the dimension of a model
- Unbalanced Repeated-Measures Models with Structured Covariance Matrices
- Prediction in Repeated-Measures Models with Engineering Applications
- Modelling the Covariance Structure of Repeated Measurements
- The Schwarz criterion and related methods for normal linear models
- The Predictive Sample Reuse Method with Applications
- Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
- A Predictive Approach to Model Selection
- Covariance structure selection in general mixed models
- Goodness-of-Fit in Generalized Nonlinear Mixed-Effects Models
- The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Linear Model Selection by Cross-Validation
- Mean Square Error of Prediction as a Criterion for Selecting Variables
- Some Comments on C P
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