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Age-period-cohort models with parametric smooth functions (natural splines) were fitted to the data by assuming a Poisson distribution for the observed number of NHL cases.
Frameworks that associate cancer dynamic disease progression models with parametric survival models for clinical outcome have recently been proposed to support decision making in early clinical development.
We used over-dispersed Poisson generalized linear models with parametric smoothing functions for time and meteorology to examine the association between admissions and PM10 up to three days prior.
The JM package in R (Rizopoulos, 2010) allows users to fit a variety of survival models with parametric or semi-parametric baseline hazards, and a wide range of mixed-effects models.
Regression models, such as the generalized additive models with nonparametric splines or the generalized linear models with parametric regression splines, are commonly used in time-series analysis to estimate the increase in risk for a health outcome such as mortality, associated with a unit increase in ambient air pollution levels on a short-term basis (Filleul et al. 2004a).
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Moreover, a robust control scheme is applied to the T S fuzzy model with parametric uncertainties.
This paper presents a kind of time-varying impulsive Takagi Sugeno (T S) fuzzy model with parametric uncertainties in which each subsystem of the model is time-varying.
To this effect, practical assumptions are exploited in order to obtain a linear design model with parametric uncertainties describing the dynamics of the vessel.
This paper presents a general impulsively-coupled complex switched network (ICCSN) model with parametric uncertainties and multiple Time-varying Delays in both the linear and nonlinear terms.
This method has been recently extended to allow the properties of the FE components of built-up structures to be uncertain like interval or probabilistic, and the hybrid model with parametric and non-parametric uncertainties is obtained.
In this paper, a guaranteed cost fuzzy impulsive control (GCFIC) problem is addressed for uncertain continuous-time nonlinear systems which can be represented by the Takagi Sugeno (T S) fuzzy model with parametric uncertainties.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com