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 ...

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.

Patients with no exposure to anthracyclines served as the reference group. Magnitude of risk is expressed as odds ratio, which was obtained using conditional logistic regression adjusting for age at ...

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, ...