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Methods: We examined this possibility in a population-based case control study using polytomous logistic regression.
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.
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We used polytomous logistic regression to identify risk factors for MRSA colonization by comparing children with MRSA to those with MSSA and children with MRSA to those without carriage of S. aureus.
To analyze the risk factors for carrying MRSA among male and female children in various age groups (<1 year, 1 5 years and >5 years of age), we used polytomous logistic regression to compare children with MRSA to those without S. aureus and children with MRSA to those with methicillin-susceptible S. aureus (MSSA).
We used polytomous logistic regression models for the analyses by AL subtype.
We used polytomous logistic regression [ 27] to compare ER+PR+ and ER- PR- case patients simultaneously with control subjects.
We used polytomous logistic regression analysis with disability status at follow-up as the dependent variable comprising four categories.
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