Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Female sex at birth, age of 65 years or older, and 32 specific medications were identified as factors for drug-related candidiasis.

Familial clustering was identified in primary hyperparathyroidism, as first-degree relatives were at higher risk than control patients.

What are the advantages of logistic regression over decision trees? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand ...

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 ...

More than 2 million persons are incarcerated in the United States, and many of them are vulnerable to infection because of chronic medical conditions. Correctional settings are considered to be ...

A higher proportion of adolescents who tested positive for COVID-19 reported ongoing symptoms compared with those who tested negative or never tested.