Frank Harrell

Frank Harrell

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Biostatistician; trial design/analysis, reproducible methods

AI's Evolving Role in Statistics: Personal Insights
SocialMay 25, 2026

AI's Evolving Role in Statistics: Personal Insights

New presentation on my experiences and thoughts about the roles for AI in #Statistics: https://t.co/My5QUzAkxI #LLM #ai

By Frank Harrell
One-Day Online Intro to R & RMS Workflow
SocialApr 28, 2026

One-Day Online Intro to R & RMS Workflow

1-day online course May 11: Intro to R/RStudio & an efficient comprehensive R workflow, rms package, enhancing regression skills to be ready for the RMS 4-day course. Details&registration at https://t.co/4IRUmtvm3H @AmstatNews @InstatsS #Statistics #rstats @VUDataScience

By Frank Harrell
Key Overlooked Factors in Clinical Trial Design
SocialApr 20, 2026

Key Overlooked Factors in Clinical Trial Design

New presentation on things we often forget to consider when designing a clinical trial: https://t.co/BVlSCIHdLu #Statistics #clinicaltrials

By Frank Harrell
One-Day Online Intro to R and RMS Workflow
SocialApr 8, 2026

One-Day Online Intro to R and RMS Workflow

1-day online course May 11: Intro to R/RStudio & an efficient comprehensive R workflow, rms package, enhancing regression skills to be ready for the RMS 4-day course. Details&registration at https://t.co/4IRUmtvm3H @AmstatNews @InstatsS #Statistics #rstats @VUDataScience

By Frank Harrell
Unexpected Email Reveals Hidden World of Ghost Workers
SocialApr 2, 2026

Unexpected Email Reveals Hidden World of Ghost Workers

Just got this email out of the blue. Didn't know ghost workers was a thing. https://t.co/zl7IrKQEw3

By Frank Harrell
New FDA Draft Bayesian Guidance Discussed with Dr. Gibson
SocialMar 18, 2026

New FDA Draft Bayesian Guidance Discussed with Dr. Gibson

Thrilled to be interviewed by imminent cardiologist and clinical trialist Mike Gibson yesterday about the new draft Bayesian guidance at FDA: https://t.co/I3uNISITKQ #Statistics #bayes #pharma #clinicaltrials #rct @CMichaelGibson

By Frank Harrell
P > 0.05 Means Inconclusive, Not Proof of No Effect
SocialMar 16, 2026

P > 0.05 Means Inconclusive, Not Proof of No Effect

Correct interpretation of p > 0.05: The current sample size did not yield sufficient evidence to reject, at the incredibly arbitrary 0.05 level, the supposition that the treatment does nothing, assuming data model M (describe M ...) which forgot to...

By Frank Harrell
Paper on Target Trial Emulation Overlooks Confounding by Indication
SocialFeb 28, 2026

Paper on Target Trial Emulation Overlooks Confounding by Indication

How is it that a paper that claims to show how to do target trial emulation does not address confounding by indication and its ramifications for data collection? https://t.co/dzGZZdpBoc #Statistics

By Frank Harrell
Bayesian Designs Decide Faster than Frequentist Group Sequential Methods
SocialFeb 23, 2026

Bayesian Designs Decide Faster than Frequentist Group Sequential Methods

Goal-Driven Flexible Bayesian Design presentation updated w/comparison of performance of frequentist group sequential designs: https://t.co/QCZ6DQrm07 . Frequentist approach takes far too long to make a decision by controlling something that is NOT an error prob. #Statistics #rct https://t.co/X2knbmzTuX

By Frank Harrell