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Instructions are individualized, with adjustments made for age, experience, body type, physical condition, and medical problems.
Adjustments were made for age, sex, years of education, race/ethnicity, body mass index, alcohol use, physical activity, serum cotinine, serum cholesterol, and vitamin/mineral usage.
Adjustments were made for age, gender, household consumption, habitat, altitude and use of alcohol and marijuana.
Adjustments were made for age, parity, oral contraceptive use, tubal ligation, family history of ovarian cancer, and study site.
Adjustments are made for age.
Adjustments were made for age and BMI.
Adjustments were made for age and sex.
In all datasets, adjustments were made for age and gender.
Adjustment was made for age at diagnosis and gender.
Adjustments were made for age, gender, income, and residential region.
Adjustment was also made for age and sex.
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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