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 developed to assess the independent effect of being a case as compared to matched unexposed patients on the composite outcome of an ICU respiratory ...

Statistical Analysis Univariate conditional logistic regression and generalized linear models were used to compare patient cases and controls for categorical and continuous characteristics, ...

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.