We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A study by CUNY SPH doctoral student Eslam Abousamra and Distinguished Professor Luisa N. Borrell found major disparities in ...

Background Relationships and sex education (RSE) impacts some sexual behaviours but could be strengthened by incorporating ...

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

Objective: To investigate the association between emotional and behavioural problems and dental fear/anxiety (DFA) in children aged four to 12 years treated at a clinic in southern Brazil. Material ...

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 ...

Objectives This study aimed to investigate the association and population-attributable fraction (PAF) of maternal smoking and secondhand smoke (SHS) exposure during pregnancy with placental abruption.

Objective This study aimed to assess the status of infant and young child feeding (IYCF) practices and associated factors among children aged 0–23 months in the low-income regions of Dhaka City, ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...