In statistical modeling, particularly within the context of regression analysis and analysis of variance (ANOVA), fixed effects and random effects are two fundamental concepts that describe different types of variables or factors in a model. Here’s a straightforward explanation:
#Statistics #DataScience #Research #Science
"Regulatory approval is too often equated with superiority over existing treatments.
The fact that new does not necessarily mean better needs to be clearly communicated to both patients and clinicians."
https://t.co/38bhK8rXN1
New paper from Dr Matthew Lynch et al. looking at the lived experience of comm. pharmacists under the 2007 Pharmacy Act.
The findings highlight the need to balance rigidity + flexibility in regulation, & for regulators to engage with those they regulate.
https://t.co/khFk5TydUv
1: 🚨 PhD Publication 💰
We assessed the impact of multimorbidity on out-of-pocket healthcare expenditure among older adults in Ireland using @tilda_tcd data. Findings:
people with 3 or more chronic conditions spent 53% more than people with 0 conditions
https://t.co/rauEFW0P63