Proud to see this Special Issue coming out with 10 papers on statistical challenges in clinical trials for COVID-19 treatments, vaccines, and diagnostics.
Thanks to Freda Cooner, @ToshimitsuHama1, Gene Pennello and @posch_m for the great collaboration!
https://t.co/8daj42IDgA
@JennaJrdn@Randy_Au There is no such golden rule. Patient data is noisy so parameters to estimate such individual effect need to be treated with caution. ML does not get around this; ML models can & do suffer from poor calibration. Also stats can say things about the individual, see eg n-of-1 trials
Thrilled about our fantastic featured speakers for R/Pharma 2020 - Christina Fillmore (GlaxoSmithKline), @topepos (RStudio) and @Viral_B_Shah (Julia Computing)!
https://t.co/xWUGTuPOzn
#rinpharma
Gratified that >1500 people interested in biomedical research have signed up for the BBR course starting Oct 4 at 10am EDT. Registrants will receive access information by Sunday. Not too late to register - https://t.co/n07rtsAJuX #bbrcourse
Heading home after a fascinating one day meeting on how ML/AI is being used in pharma. A key take away for me is recognising when ML/AI can offer insight that established statistical methods don’t already cover. #PSIstats#AI#ML
Biostatistics for Biomedical Research almost-weekly web course registration is now open. Go to https://t.co/n07rtsj86n for course details and registration link. @EdgeforScholars #bbrcourse @vandy_biostat @VUMChealth#StatThink
Toying with the idea of hosting an almost-weekly one-hour live webinar (with student participation) on applied statistics/biostatistics. Some topic choices would come from twitter polls. Please respond to the poll in the next tweet if you are definitely interested.