It’s one week, they say. Just one game. Don’t overreact to such a small sample size. You hear the same refrain every year. And while it is typically sound advice, the truth is: One result in a 17-game ...

Measures of submission rate, acceptance rate, and rejection rate with tests of statistical significance. Logistic regression was used for whether they submitted to an elit journal by individual ...

ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Objective: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live ...

Abstract: In the specific paper's context, the main aim is to use the logistic regression data set to look into the forecast of the failed escalator through the random forest machine learning ...

Last class, we applied logistic regression to the `Default` data. Let's spend a bit more time this class covering *what* logistic regression is and how it works. Logistic regression is a type of ...

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.