LASSO type penalized spline regression for binary data

LASSO type penalized spline regression for binary data

Abstract Background Generalized linear mixed models (GLMMs), typically used for analyzing correlated data, can also be used for smoothing by considering the knot coefficients from a regression spline as random effects. The resulting models are called semiparametric mixed models (SPMMs). Allowing the...

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Bibliographic Details
Main Authors: Muhammad Abu Shadeque Mullah, James A. Hanley, Andrea Benedetti
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Research Methodology
Subjects:
Penalized splines
Generalized linear mixed models
Ridge regression
Least absolute shrinkage and selection operator (LASSO)
Markov chain Monte Carlo
Online Access:https://doi.org/10.1186/s12874-021-01234-9

Internet

https://doi.org/10.1186/s12874-021-01234-9

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