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An analytic method gaining popularity is joint modelling of longitudinal and time-to-event processes [ 18].
This limitation could be addressed by more sophisticated modelling of longitudinal data containing the measures of interest.
The modelling of longitudinal data takes into account the fact that successive HRQoL assessments by a particular subject are likely to be correlated.
PKPD modelling of longitudinal tumour SLD data on a continuous scale preserves relevant information, and the outcome of other doses and schedules than those investigated can be more accurately explored.
The joint modelling of longitudinal and survival data is a valid approach to account for measurement error in the analysis of a repeatedly measured biomarker and a time-to-event.
Both multi-state models and joint latent class mixed models have flexible properties that enable a realistic modelling of longitudinal cognitive decline although subtle differences exist in terms of interpreting output.
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b Typical bi-linear model of longitudinal steel fibers.
ODMixed is a computer program to obtain optimal designs for linear mixed models of longitudinal studies.
On one hand, citation data are well-suited for developing testable models of longitudinal productivity and impact dynamics within and across research careers [18], [26].
Mathematical predictive models of longitudinal elasticity and bending stiffness of the textile prosthesis have been developed, allowing relating the prosthesis elasticity and flexibility with the crimping parameters.
Uniformly ultimate boundedness and tracking are achieved, exploiting a heavily coupled, bounded uncertain and highly nonlinear model of longitudinal and lateral dynamics.
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