How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Lupus Science & Medicine

Detection rate, demographic associations and clinical implications of anti-C1q antibody elevations across diverse disease states

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

More friends, more division: Study finds growing social circles may fuel polarization

Between 2008 and 2010, polarization in society increased dramatically alongside a significant shift in social behavior: the ...
BMJ Global Health

Knowledge, attitudes and practices survey on antimicrobial resistance and stewardship among pharmacy healthcare workers in 28 African countries

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...
Journal of Medical Ethics

Respecting the right to refuse: is decision-making capacity disproportionately challenged in patients declining medical care in order to treat?

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...
The New York Times

MLB’s first half is done. Time for Regression Court. Plus, a busy NHL day

The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! Remember, half a season is 81 games, not the All-Star ...
Scientific Research Publishing

Ordinal Logistic Regression Model in Determining Factors Associated with Household Food Insecurity in Namibia ()

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 ...
Frontiers

Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study

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 ...
Hosted on MSN

Logistic Regression Cost Function ¦ Machine Learning ¦ Simply Explained

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model. It shows how the model ...
IEEE

Research on the Enhancement and Improvement of Logistic Regression Models

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...