Communications of the ACM

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...
Pew Research Center

What happens when war breaks out in the middle of a survey?

Using statistical analysis of surveys fielded during the U.S.-Israel airstrikes on Iran, researchers tracked real-time shifts ...
How-To Geek on MSN

Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
BMJ Open

Cognitive-behavioural therapy for insomnia in adults to decrease cannabis use: study protocol for a randomised controlled trial in a community sample of adults with fre…

Introduction Cannabis use is common in the USA and is associated with adverse outcomes across many domains, including sleep ...
IEEE

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification

Abstract: Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks ...
Investopedia

Understanding Sum of Squares in Regression Analysis

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. David Kindness is a Certified Public Accountant (CPA) and an expert ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
BMJ

Gestational age at birth and child special educational needs: a UK representative birth cohort study

Objective To examine the association between gestational age at birth across the entire gestational age spectrum and special educational needs (SENs) in UK children at 11 years of age. Methods The ...
IEEE

Power System Fault Classification and Prediction Based on a Three-Layer Data Mining Structure

Abstract: In traditional fault diagnosis methods in power systems, it is difficult to accurately classify and predict the types of faults. With the emergence of big data technology, the fault ...
jech.bmj

Quality of life at older ages: evidence from the English longitudinal study of aging (wave 1)

Objectives: To investigate whether longstanding illnesses, social context, and current socioeconomic circumstances predict quality of life. Design: Secondary analysis of wave 1 of the English ...
jech.bmj

Operationalisation and validation of the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall risk algorithm in a nationally representative sample

Background Preventing falls and fall-related injuries among older adults is a public health priority. The Stopping Elderly Accidents, Deaths, and Injuries (STEADI) tool was developed to promote fall ...
GitHub

mcp: Regression with Multiple Change Points

mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. mcp aims to provide maximum flexibility for analyses with a ...