This case-control study, utilizing a large medical information database, suggests that statin use may reduce the risk of SAH. Subgroup analyses further indicate that a history of hypertension and ...

In this paper, we propose a combination of logistic regression and genetic algorithm for the association study of the binary disease trait. We use a logistic regression model to describe the relation ...

In this paper we discuss the analysis of data from population-based case-control studies when there is appreciable non-response. We develop a class of estimating equations that are relatively easy to ...

Objective: Apply logistic regression for binary classification problems. Steps: Dataset: Example - Titanic survival data (titanic.csv). Tasks: Preprocess the data (handle missing values, one-hot ...

After classification according to the exposure of interest, subsamples of cases and controls are selected for purposes of covariable ascertainment. A modification of the usual logistic regression ...

Aim To enable practicing epidemiologists to make more efficient use of already-available case-control data and to design case-control studies that will extend the possibilities for future analysis.

Our case–control study used a logistic regression analysis of influencing factors for pediatric burns by using a questionnaire survey. Age was found to be a protective factor for pediatric burns, and ...

ABSTRACT: Background: Binary as well as polytomous logistic models are widely used for estimating odds ratios when the exposure of prime interest assumes unordered multiple levels under matched pairs ...

Problem statement - to create a logistic regression model for an online education company. The goal is to help them improve conversion rate for their online courses. Currently they contact all their ...