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Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines
(BioMed Central, 2016)
BACKGROUND: Childhood growth is a cornerstone of pediatric research. Statistical models need to consider individual trajectories to adequately describe growth outcomes. Specifically, well-defined longitudinal models are ...
Influence Assessment in an Heteroscedastic Errors-in-Variables Model
(TAYLOR & FRANCIS INC, 2012)
The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential ...
Competing regression models for longitudinal data
(WILEY-BLACKWELLMALDEN, 2012)
The choice of an appropriate family of linear models for the analysis of longitudinal data is often a matter of concern for practitioners. To attenuate such difficulties, we discuss some issues that emerge when analyzing ...
Competing regression models for longitudinal data
(Wiley-Blackwell, 2012-03-01)
The choice of an appropriate family of linear models for the analysis of longitudinal data is often a matter of concern for practitioners. To attenuate such difficulties, we discuss some issues that emerge when analyzing ...
A calibration function from change points using linear mixed models
(2019-04-08)
The change point problem is an interesting topic in both cross-sectional and longitudinal settings. In the cross-sectional scenario, the change point problem has been studied extensively. In longitudinal settings, authors ...
lme4GS: an R-Package for Genomic Selection
(Frontiers, 2021)