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Our BC incidence model uses age, CFR, PM50 and year of birth to estimate the number of BC incident cases by age and cohort of birth.
The DIETRON model uses age- and gender-specific estimates of relative risks drawn from meta-analyses of trials, cohort studies and case control studies.
Briefly, the DIETRON model uses age- and sex-specific estimates of relative risk drawn from meta-analyses of trials, cohort studies and case control studies, to estimate the impact on chronic disease mortality of counterfactual population dietary scenarios.
The Breast Cancer Risk Assessment Tool (BCRAT), or Gail model, uses age, family history of breast cancer, reproductive history and history of breast biopsy or atypical hyperplasia to estimate a woman's 5-year or lifetime risk of breast cancer [ 5].
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41 The DIETRON model uses age-specific and sex-specific relative risk estimates from meta-analyses to link the consumption of different food categories to mortality (figure 2).
This model uses age-at-menarche, age-at-birth of first live child, number of previous benign breast biopsy examinations, and number of first-degree-relatives with breast cancer as well as baseline age-specific breast cancer risks, to provide a predicted probability of invasive or in situ breast cancer development.
In order to determine the extent to which age alone can discriminate between "poor-drivers" and "not-poor-drivers", a logistic regression model using age as a predictor was developed (Eq. 3) and was subjected to diagnostic checks/goodness-of-fit test and confirmed through model validation.
The Cox model used age as the underlying time variable.
Tables 1, 2, 3 summarize the association of β-AR genotypes with HRV indices determined by a GLM model using age, gender, and BMI as covariates.
The basic model used age and ICD-10 code only.
Backwards elimination was used to select the model using age group, sex, and race and ethnicity.
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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