John berNerd Carlisle (@jbc13mar1967_) 's Twitter Profile
John berNerd Carlisle

@jbc13mar1967_

NHS doc. SpaceX nerd. False data detective. Late to golf.
I hope we get to make life multiplanetary.

ID: 1085861201249296385

calendar_today17-01-2019 11:27:39

182 Tweet

702 Followers

29 Following

Elisabeth Bik (@microbiomdigest) 's Twitter Profile Photo

Image fabrication is bad. But equally bad is the lack of willingness by scientific journals to seriously investigate these issues. Too many journal editors do not reply or are brushing away these concerns. A little thread.

Elisabeth Bik (@microbiomdigest) 's Twitter Profile Photo

There is a worrying amount of fraud in medical research And a worrying unwillingness to do anything about it economist.com/science-and-te…

The Economist (@theeconomist) 's Twitter Profile Photo

On our β€œBabbage” podcast, Alok Jha and Slavea Chankova, our health-care correspondent, investigate why there’s a worrying amount of scientific fraudβ€”and what the implications are econ.st/41uQJ7b

John berNerd Carlisle (@jbc13mar1967_) 's Twitter Profile Photo

Survival prediction vs. observation: how to interpret metrics? 0 for Brier & 1 for concordance unachievable: I simulated true predictions for my data - median (95%CI) Brier 0.14 (0.12-0.16) & concordance 0.79 (0.75-0.84). Model Brier 0.16 and concordance 0.73: 2% and 1% perfect?

Andrew Vickers (@vickersbiostats) 's Twitter Profile Photo

Prediction modelers: please be like @ashclift Julia Hippisley-Cox Gary Collins & write papers like bmj.com/content/381/bm…. Large data set, careful evaluation of different modeling approaches, evaluation of calibration (which appears not to exist in ML world), decision curve analysis