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Tests of significance were reported from models using continuous variables when possible.
We included log-creatinine in models using continuous log-biomarker variables, and we created quintile cut points from creatinine-corrected concentrations (micrograms per gram creatinine).
In models using continuous mean prenatal BPA concentrations, each individual BPA concentration was divided by the respective urinary creatinine concentration before taking the mean of the measurements.
MEP was weakly related to the proinsulin-to-insulin ratio in an inverse way in linear regression models using continuous variables (Table 4).
Kristensen et al. (2013) constructed linear regression models using continuous PFOS and PFOA exposure and natural log transformed study outcomes, adjusted by mother's smoking and income, and daughter's smoking, BMI, luteinizing and follicule-stimulating hormones, and estradiol.
Prespecified baseline factors found significant by univariate analysis for association with week 6percentt changes from baseline in lipids and hs-CRP were assessed in multivariable linear regression models using continuous and categorical variables in separate analyses.
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Moreover, due to the simplified nature of the models used, continuous V̇/Q distributions could not be produced, and thus, the model outputs can only be compared to patient data at two or three isolated points on the V̇/Q curve.
**Regression models used continuous age variable.
The resulting curve was then modeled using continuous HMMs with one Gaussian mixture per state instead of MSD-HMMs, as proposed by [74].
Additionally, we assessed the impact of adding lactate to the model using continuous net reclassification improvement (NRI) and integrated discrimination index (IDI), as previously suggested [18].
The language enables a high-level definition of the geometric model using continuous affine transformation and boolean operators leading to a mixed-dimensional representation.
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models using genetic
models using multilevel
models substituting continuous
models using new
models using multiple
models using multilinear
models using para-skilled
models using different
models using residual
models using logistic
models using maximum
models using molecular
model using continuous
models using continuously
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