The overall tone reflects mild enthusiasm and curiosity about the article’s themes, with examples like trying new software tools and questioning why experts might neglect the concept of prediction intervals, using phrases such as 'use R to do the same thing' and 'why some Harvard PhDs don't use PIs.' The language suggests an early-stage interest rather than a highly impactful or deeply engaged conversation.
AgreementModerate agreement
The first post hints at an endorsement or curiosity about the usefulness of prediction intervals, while the second suggests ongoing questions in the field, indicating some support with an interest in further understanding.
InterestModerate interest
Both posts express personal engagement with the topic—one through trying out tools and the other through questioning practitioners—demonstrating moderate curiosity rather than strong passion.
EngagementNeutral engagement
The discussion is relatively surface-level, mentioning tools like R and raising questions without deep technical analysis or extensive debate.
ImpactNeutral impact
These posts seem to reflect a general awareness rather than emphasizing the publication’s transformative potential or widespread influence.
Abstract in brief
The article emphasizes the importance of routinely including prediction intervals in meta-analyses, as they provide a clearer understanding of the range of true effects across studies and help interpret the uncertainty about intervention effectiveness.
Research findings from Cochrane reviews show that in many cases, the prediction intervals suggest the intervention's effect could be null or even opposite to the overall estimate, highlighting the variability across different settings.
Prediction intervals can also be used to estimate the likelihood that a new trial will yield a negative result and to improve the planning and power calculations for future studies, making them a valuable tool for clinical decision-making.
Just came across my first youtube clip.
Not a plug. Use R to do the same thing (actually easier if you're in front of computer).
@EpiEllie you still haven't answered my question regarding why some Harvard PhDs don't use PIs. Maybe this will help them!
https://t.co/Wy0cqoU1Bt
Nov 3, 2024 · 4 likes · 1,024 followersView post →
A systematic review suggests asthma is linked to reduced COVID-19 mortality risk. This video examines the evidence quality, heterogeneity, and the significance of confidence and prediction intervals in meta-analyses for…
Join us for this special birthday pod where we discuss a fascinating new meta-analysis on the association of PPIs and dementia. Learn about the study's results, methods, and the significance of prediction intervals in…
Just came across my first youtube clip.
Not a plug. Use R to do the same thing (actually easier if you're in front of computer).
@EpiEllie you still haven't answered my question regarding why some Harvard PhDs don't use PIs. Maybe this will help them!
https://t.co/Wy0cqoU1Bt
Nov 3, 2024 · 4 likes · 1,024 followersView post →
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