Browsing by Subject "Longitudinal data"
Now showing items 1-4 of 4
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Dynamics of biomarkers in relation to aging and mortality.
(Mech Ageing Dev, 2016-06)Contemporary longitudinal studies collect repeated measurements of biomarkers allowing one to analyze their dynamics in relation to mortality, morbidity, or other health-related outcomes. Rich and diverse data collected ... -
How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.
(Biogerontology, 2016-02)Increasing proportions of elderly individuals in developed countries combined with substantial increases in related medical expenditures make the improvement of the health of the elderly a high priority today. If the process ... -
Statistical Analysis of Response Distribution for Dependent Data via Joint Quantile Regression
(2021)Linear quantile regression is a powerful tool to investigate how predictors may affect a response heterogeneously across different quantile levels. Unfortunately, existing approaches find it extremely difficult to adjust ... -
stpm: an R package for stochastic process model.
(BMC Bioinformatics, 2017-02-23)BACKGROUND: The Stochastic Process Model (SPM) represents a general framework for modeling the joint evolution of repeatedly measured variables and time-to-event outcomes observed in longitudinal studies, i.e., SPM relates ...