Varying-coefficient models and basis function approximations for the analysis of repeated measurements
BiometrikaPublished 1 March 2002
Jianhua Z. Huang
Citations420
SJR quartileQ1
SJR score3.60
SNIP2.67
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TL;DR
A global smoothing procedure is developed using basis function approximations for estimating the parameters of a varying-coefficient model with repeated measurements that applies whether or not the covariates are time-invariant and does not require binning of the data when observations are sparse at distinct observation times.
Abstract
Journal Article Varying‐coefficient models and basis function approximations for the analysis of repeated measurements Get access Jianhua Z. Huang, Jianhua Z. Huang Search for other works by this author on: Oxford Academic Google Scholar Colin O. Wu, Colin O. Wu Search for other works by this author on: Oxford Academic Google Scholar Lan Zhou Lan Zhou Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 89, Issue 1, March 2002, Pages 111–128, https://doi.org/10.1093/biomet/89.1.111 Published: 01 March 2002
Keywords
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