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 ...

Participants were selected using a multistage sampling. Multivariable logistic regression analysis was performed, with a p-value < 0. 05 considered statistically significant.   The study included ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Genomic and immunophenotypic landscape of early-stage pulmonary carcinoid tumors. Univariable and multivariable logistic regression analysis examining predictors of early recurrence.

Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil In this prospective study of 170 patients ...