BMJ Open

Maternal out-of-home care experience and offspring symptom development across domains: a latent profile analysis of a UK longitudinal population sample

Objective This prospective longitudinal study of a general population sample investigates whether maternal experience of out-of-home care (OHC) constitutes an independent risk factor for the ...

Understanding Hedonic Regression in Pricing Models

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
GitHub

psoerensen/bayesian-linear-regression

This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...
Frontiers

Bayesian network analysis of cognitive impairment in empty-nest older adults: the role of living environment

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...
Sports Illustrated

Analytics Have a Surprising Prediction for Cal-Stanford Game

Betting sites will begin posting their initial point spreads for the November 22 Cal-Stanford game late Saturday evening or Sunday, but while we wait for those betting lines with bated breath, we will ...
Frontiers

A time-space Bayesian regression model of rabies cases in the animal population of Kazakhstan (2013–2023)

Introduction: Despite its endemic status and socioeconomic impacts, the spatial-temporal variation in rabies risk and its underlying determinants in Kazakhstan animal populations remain poorly ...
GitHub

Spatiotemporal heterogeneous perspective for analyzing influencing factors, identifying key drivers, and making dynamic predictions, all within a unified ‘full-map’ framework.

The package is currently in the internal testing phase. At present, it only supports local installation from GitHub. The BSTVC R package is designed to provide a comprehensive suite of functionalities ...
Scientific Research Publishing

Hahn, P.R., Murray, J.S. and Carvalho, C.M. (2020) Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion ...

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
The Lancet

Comparative safety and efficacy of oncolytic virotherapy for the treatment of individuals with malignancies: a systematic review, meta-analysis, and Bayesian network meta-analysis

bDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China cHunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and ...
SciELO

AN EFFICIENT COUNT DATA MODEL: PROPERTIES, ACTUARIAL MEASURES, BAYESIAN ESTIMATION, REGRESSION MODEL, AND APPLICATIONS TO HEALTH CARE DATA

Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...
NBC News

Tech tycoon Lynch's doomed Bayesian yacht lifted to surface

Salvage experts lifted Mike Lynch’s sunken superyacht to the surface and began pumping seawater out of it on Saturday, 10 months after it sank off the coast of Sicily, killing the British tech tycoon, ...