Derivative curve estimation in longitudinal studies using P-splines
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Publication:6669938
DOI10.1177/1471082X231178078MaRDI QIDQ6669938
María Durbán, Dae-Jin Lee, María Xosé Rodríguez-Álvarez, María Alejandra Hernández
Publication date: 22 January 2025
Published in: Statistical Modelling (Search for Journal in Brave)
Cites Work
- On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing
- Estimating curves and derivatives with parametric penalized spline smoothing
- A practical guide to splines
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- An additive penalty \(P\)-spline approach to derivative estimation
- Smoothing and mixed models
- Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data
- Flexible smoothing with P-splines: a unified approach
- Semiparametric Regression
- Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences
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