The package dcemriS4 provides a complete set of data analysis tools for quantitative assessment of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
Volker J. Schmid, Brandon Whitcher
doaj
A note on a nonparametric regression test through penalized splines. [PDF]
Chen H, Wang Y, Li R, Shear K.
europepmc +1 more source
Frailty models are very useful for analysing correlated survival data, when observations are clustered into groups or for recurrent events. The aim of this article is to present the new version of anR package called frailtypack.
Virginie Rondeau +2 more
doaj
Penalized spline models and applications [PDF]
Penalized spline regression models are a popular statistical tool for curve fitting\ud problems due to their flexibility and computational efficiency. In particular, penalized\ud cubic spline functions have received a great deal of attention.
openaire
Marginal longitudinal semiparametric regression via penalized splines. [PDF]
Kadiri MA, Carroll RJ, Wand MP.
europepmc +1 more source
SEMIPARAMETRIC PENALIZED SPLINE REGRESSION
In this paper, we propose a new semiparametric regression estimator by using a hybrid technique of a parametric approach and a nonparametric penalized spline method. The overall shape of the true regression function is captured by the parametric part, while its residual is consistently estimated by the nonparametric part.
openaire
In Silico Psycho-Oncology: Understanding Resilience Pathways in Breast Cancer-Determinants of Longitudinal Depression and Quality-of-Life Trajectories. [PDF]
Kolokotroni E +7 more
europepmc +1 more source
A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi-Cohort Alzheimer's Disease Study. [PDF]
Wang W +4 more
europepmc +1 more source
Mitigating the risk of bias exacerbation when controlling for unmeasured spatial confounding for binary exposures. [PDF]
Li D +4 more
europepmc +1 more source
A Double Decomposition of Standard Deviation Below the Modal Age at Death and the Role of Causes of Death. [PDF]
Diaconu V, Zarulli V, Mazzuco S.
europepmc +1 more source

