Multicollinearity and Linear Predictor Link Function Problems in Regression Modelling of Longitudinal Data

In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated predictor variables. Our approach uses B-splines for non-parametric part in the linear predictor component. A generalized estimation equation is used to estimate the parameters of the proposed...

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Bibliographic Details
Published in:	Mathematics (Basel) Vol. 11; no. 3; p. 530
Main Authors:	Taavoni, Mozhgan, Arashi, Mohammad, Manda, Samuel
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-01-2023
Subjects:	Acquired immune deficiency syndrome AIDS Algorithms Analysis Data acquisition Data analysis Fixed-effects regression models generalized estimating equations Generalized linear models Linear systems longitudinal data Longitudinal method multicollinearity Parameter estimation partially generalized linear models Prediction theory ridge regression Spline functions Variables Iran
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Summary:	In the longitudinal data analysis we integrate flexible linear predictor link function and high-correlated predictor variables. Our approach uses B-splines for non-parametric part in the linear predictor component. A generalized estimation equation is used to estimate the parameters of the proposed model. We assess the performance of our proposed model using simulations and an application to an analysis of acquired immunodeficiency syndrome data set.
ISSN:	2227-7390 2227-7390
DOI:	10.3390/math11030530