A class of conditional logistic regression models for clustered binary data is considered. This includes the polychotomous logistic model of Rosner (1984) as a special case. Properties such as the ...

Random effects logistic regression models are often used to model clustered binary response data. Regression parameters in these models have a conditional, subject-specific interpretation in that they ...

We created two conditional logistic regression models, relating each model-derived density measurement to likelihood of contralateral breast cancer diagnosis, adjusted for age, BMI, family history, ...

A conditional logistic regression model was used to evaluate the interaction between ethnicity and biomarkers for predicting clinicopathologic outcomes.

A conditional logistic regression model was developed to assess the independent effect of being a case as compared to matched unexposed patients on the composite outcome of an ICU respiratory ...

A conditional logistic regression model was used to estimate rate ratios for 2 main exposures: (1) diagnosis of glaucoma and (2) use of a prescription of a topical BB before the index date.