StatsCI Jack Elkes NIHR Statistics Group #NIHRstats2023 did not end without giving me the opportunity to meet Jack Elkes, an intelligent man and mentor. I appreciate you taking the time to speak with me. Our conversations were so helpful and thank you for agreeing to give more supports. ☺️
Really glad to meet many friends and to see the growing interest in #PrecisionMedicineTrials. Thanks NIHR Statistics Group for this well-organised conference & everyone coming to our session! We'll continue enhancing the practicality, w/ the great questions received #NIHRStats2023
"Don't go around and make prediction models because you are bored" - Sebastian Bate NIHR Statistics Group #NIHRstats2023
"If every computer science department had a sampling and study design course, the world would be a better place" - Bhramar Mukherjee 👏🫡 #EpiTwitter #StatsTwitter #NIHRstats2023
"Even the smallest bias in big data will result in incorrect data". Prof Bhramar Mukherjee #NIHRStats2023
Our final keynote speech of the conference is by Professor Bhramar Mukherjee of Michigan Public Health On the Analysis of Big Real-World Health Care Data. #NIHRStats2023 #BigData #health
"I have no idea how to stop clinicians carrying on with all this nonsense" Comment at #NIHRStats2023 reflects collective frustration on the endless proliferation of useless prediction models in health and medical research! #EpiTwitter #StatsTwitter NIHR Statistics Group
The second half of day 2 kicks of with various breakout sessions. In room 1 Peter Tennant and Liz Hensor of University of Leeds focus on the Table 2 Fallacy. Have you heard of it? What are your thoughts about it? #NIHRStats2023
Room 3 is currently being led by David Robertson of the MRC Biostatistics Unit Munya Dimairo of The University of Sheffield , Phillip Pallman of Deeznats , and Babak Oskooei , on how to Estimate treatment effects in adaptive clinical trials. #NIHRStats2023