Sentence examples for models with penalized from inspiring English sources

Models with penalized spline terms instead of linear terms for exposures were fitted to examine the shape of dose-responses.

We used generalized additive models with penalized cubic regression splines (Wood 2006) to explore the functional form of the relationship between candidate gene expression levels and urinary BPA concentration.

We checked our assumption of linearity of the continuous exposure outcome relationships by fitting generalized additive models with penalized spline smooth terms for continuous exposures, adjusted for all relevant covariates (see below) and visually assessing plotted splines.

To explore potential nonlinear associations between arsenic and blood glucose levels, we used generalized additive models with penalized splines (df = 3) for the arsenic exposure variable weighted by the inverse of the variance of the exposure variable.

Next, we explored the exposure response relationship in fully adjusted models using generalized additive models with penalized splines in R (version 2.13; R Foundation for Statistical Computing, Vienna, Austria).

Differential risk of mortality was examined using proportional hazard models with penalized regression splines in order to allow for non-linear associations between mortality risk and income, controlling for age, race/ethnicity, marital status, level of educational attainment and occupational category.

We used the generalized additive model with penalized splines to analyze mortality, O3 pollution, and covariate data in warm and cold seasons.

All regression models are fitted as generalized additive models (gams) with penalized regression splines, where the penalty removes terms from the model if unwarranted.

Furthermore, we ran generalized additive models (GAM) with penalized smoothing regression splines to examine the shape of relationship between Mn levels and other trace elements in blood.

The model is fitted using a generalized additive model (gam) with penalized regression splines.

Generalized additive mixed models with monthly penalized spline smooth spatial terms, penalized spline smooth terms of geospatial predictors (listed below), and terms for time were used to create separate PM prediction surfaces for each month and each PM size fraction (Yanosky et al. 2009).