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ORs specific to disease subtypes defined by ER status were estimated for Europeans using polytomous logistic regression with control status as the reference outcome.
Odds ratios specific to disease subtypes defined by ER, PR and HER2 status (positive and negative) were estimated separately for each ethnic subgroup using polytomous logistic regression with control status as the reference outcome.
Using polytomous logistic regression we put forward a method for separating soil associations into their constituent soils within the Chilterns Natural Area.
Odds ratios (OR) were estimated for the associations between lifetime consumption of total alcoholic beverages, beer, wine, and/or spirits, altogether and separately, and each cancer site, while carefully adjusting for smoking and other covariates using polytomous logistic regression.
These associations also were evaluated using polytomous logistic regression.
We examined this possibility in a population-based case control study using polytomous logistic regression.
Questionnaire-based epidemiologic information and CRC pathologic features were compared across case groups using polytomous logistic regression.
Because tumour ER and PR status are strongly correlated, we modelled ER and PR co-expression using polytomous logistic regression.
We examined the relation between pesticides and PD subtypes (tremor dominant/non-tremor dominant) using polytomous logistic regression.
Dichotomous covariates (ER, PR, HER2, BCL2 and node status) were imputed using logistic regression and polychotomous covariates (grade and tumour size) were imputed using polytomous logistic regression.
In case of differences on socioeconomic variables or other confounding variables between the three groups adjusted group comparisons would be undertaken using polytomous logistic regression.
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