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 ...

Abstract: The results of a world-wide study on yield improvement are presented. Die yields collected from 21 fabs are transformed via a logit formula and compared. The die yields and die yield ...

An exciting Formula E calendar is in store with 11 global locations for Season 11 for one of our biggest calendars ever with 17 races. It's set to be another classic season with a nice blend of ...

cDepartment of Medical Genetics, Centre for Molecular Medicine and Therapeutics, British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia ...

This paper primarily analyzes the one-parameter generalized logistic (1PGlogit) model, which is a generalized model containing other one-parameter item response theory (IRT) models. The essence of the ...

Background: Predicting physical function upon discharge among hospitalized older adults is important. This study has aimed to develop a prediction model of physical function upon discharge through use ...