
Lukas Pin
@pinlukas96
Biostatistics PhD Student @ MRC Biostatistics Unit @ University of Cambridge
ID: 1059039546552315905
04-11-2018 11:07:58
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86 Followers
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Our latest video interview is with #PhD student Lukas Pin. Lukas talks about why he enjoys doing a PhD at the BSU and what has surprised him so far. youtu.be/kWY0jFBVdVI Cambridge University Cambridge Postgraduate Admissions

The researchers and students in our fantastic Efficient Study Design theme had a great away day on Friday which ended with fun and games π Sofia S. Villar @thomas_jaki Pavel Mozgunov Martin Law Mia Tackney Rajenki Xijin Chen Lukas Pin Alessandra Serra


Come by my poster βImplementing and Assessing Bayesian Response-Adaptive-Randomisation for Backfilling in Dose-Finding Trailsβ at #ICTMC2024 from 12:10-12:30 TODAY. Looking forward to seeing everyone π΄σ §σ ’σ ³σ £σ ΄σ Ώ #AdaptiveDesigns #RAR #Oncology Sofia S. Villar Prof Hakim Dehbi MRC Biostatistics Unit



Preprint on a Mapping strategy introduced in a Response Adaptive Randomised trial of a rare disease, which discretises randomisation probabilities to target allocation ratios, avoiding undesirable outcomes⦠arxiv.org/abs/2410.03346 Nina :Deliu Mark Toshner Sofia S. Villar

Congrats to BSU Programme Leader, Sofia S. Villar, on being nominated for Cambridge University Research Culture Celebration 2024, for her contributions to creating a positive research culture πππ€© Read more π mrc-bsu.cam.ac.uk/news/research-β¦


Lectures and infusion of choice for the response adaptive design course today at MRC Biostatistics Unit super engaged audience today π



New NOTACS trial uses adaptive trial design to assess effectiveness, safety & cost-effectiveness of 2 methods of oxygen-delivery for high-risk patients after cardiac surgery Springer Nature π link.springer.com/article/10.118β¦ Sofia S. Villar Sarah Dawson Royal Papworth Hospital NHS FT π Cambridge University


Today, our wonderful cohort of #PhD students are running a symposium, with fantastic talks and poster presentations from them each of them π€©ππ Cambridge University Medical Research Council


Freshly available to read. How to know if approximating probabilities in a Bayesian RA(r) design is good enough? Exact calculations for binary endpoints allow us to suggest a benchmarking procedure that takes speed and accuracy into account. π’ MRC Biostatistics Unit arxiv.org/pdf/2411.19871