Erick Scott (@erickrscott) 's Twitter Profile
Erick Scott

@erickrscott

Scientist. I like biology, stats, randomization, 🌊, 🏔️, and 🗳️.
cStructure, Founder.

ID: 512234952

calendar_today02-03-2012 17:36:45

1,1K Tweet

234 Followers

315 Following

Tom Nicholas (@tegnicholascode) 's Twitter Profile Photo

New Blog Post: How our ambitious Pangeo workloads led to big performance improvements in Dask 's distributed scheduler! 📈 🚀 medium.com/pangeo/dask-di…

Frank Harrell (@f2harrell) 's Twitter Profile Photo

Major new version of R rms package is now on CRAN with many improvements, the most important of them being the generalization of spline functions to work in any regression model, rms or otherwise. hbiostat.org/R/rms #rstats @vandy_biostat Vanderbilt University Data Science Institute #rmscourse

Major new version of R rms package is now on CRAN with many improvements, the most important of them being the generalization of spline functions to work in any regression model, rms or otherwise.   hbiostat.org/R/rms #rstats  @vandy_biostat <a href="/VUDataScience/">Vanderbilt University Data Science Institute</a>  #rmscourse
Erick Scott (@erickrscott) 's Twitter Profile Photo

On a Scale of 1-10 (10 is maximum creepy), how weird is a requirement to sign an NDA to attend a free ML/AI community meetup at the hosting company's HQ?

Richard McElreath 🦔 (@rlmcelreath) 's Twitter Profile Photo

The 2023 edition of my long-running anti-establishment art-science-fusion code-therapy smooth-baritone causal inference & Bayesian data analysis course is complete. 20 lectures, from the basics of causal inference & Bayesian updating to mixed models & Gaussian processes. 1/2

Richard McElreath 🦔 (@rlmcelreath) 's Twitter Profile Photo

Lecture recordings, slides, homework sets and solutions are all listed here. Take it at your own pace, as you like it. First half is a solid course in regression and causal inference. Second half turns it up to 11. github.com/rmcelreath/sta…

Roxana Daneshjou MD/PhD (@roxanadaneshjou) 's Twitter Profile Photo

ChatGPT is all the rage in medicine (recently heard that people are asking it all sorts of questions related to patient care), so this is a thread of the things you need to watch out for and what can go wrong!

Yair Einhorn (@yaireinhorn) 's Twitter Profile Photo

For those on #Twitter interested in #BioTech, #CRISPR & #GeneEditing - here’s a must lecture given by one the top leading #scientists & #innovators of our time - David R. Liu, in which he explains the #Science & the future applications of #BaseEditing & #PrimeEditing. $BEAM $PRME

Frank Harrell (@f2harrell) 's Twitter Profile Photo

New blog article: Real RCT example where trying to combine Bayesian and frequentist ideas created a mess: fharrell.com/post/hybrid @vandy_biostat Edge for Scholars #Statistics #clinicaltrials

Michael Moor (@michael_d_moor) 's Twitter Profile Photo

📢#Medical #AI PSA📢: the MIMIC and Physionet 2019 datasets are *NOT* independent! (Half of P19 stems from M) Still, there's a growing list of #sepsis pred. papers claiming "external validation" or "transfer learning" between those two overlapping datasets.

Richard McElreath 🦔 (@rlmcelreath) 's Twitter Profile Photo

For all the people who followed me recently because I posted some weird posterior distributions, I have made more than 20 hours of free lectures on Bayesian stats and causal inference just for you👇 x.com/rlmcelreath/st…

Veera Rajagopal  (@doctorveera) 's Twitter Profile Photo

I am saddened to hear the news that Prof. Jeanette Erdmann (Jeanette Erdmann) passed away a few months ago. I deeply admired and respected Jeanette for her unconditional love for genetics, her great contributions to the genetics of cardiovascular disease (she was one of the

I am saddened to hear the news that Prof. Jeanette Erdmann (<a href="/JeanetteErdmann/">Jeanette Erdmann</a>) passed away a few months ago. I deeply admired and respected Jeanette for her unconditional love for genetics, her great contributions to the genetics of cardiovascular disease (she was one of the
Elias Bareinboim (@eliasbareinboim) 's Twitter Profile Photo

Gary Marcus Dirk Roeckmann Yann LeCun Vinod Khosla Judea Pearl Until recently, the other direction was not clear, namely, how to incorporate causal inductive biases into neural networks. I'm under the impression that this breakthrough remains largely unknown in much of neural research, and I think it's important to acknowledge this so people

Leo Dirac (@leopd) 's Twitter Profile Photo

I have mad respect for Karpathy. But RL agents will not find exploits in physics that give us infinite energy, or anything like that. As somebody who knows a thing or two about both AI and physics, I am quite certain of this. The so-called standard model of particle physics

Achim Zeileis @zeileis@fosstodon.org (@achimzeileis) 's Twitter Profile Photo

PSA: All #rstats package on #cran will get an official DOI! This will facilitate bibliometrics and giving credit to R package authors. Registering all 20,000+ packages will still take a few more days. But the first couple of thousand are already live. Example:

PSA: All #rstats package on #cran will get an official DOI!

This will facilitate bibliometrics and giving credit to R package authors.

Registering all 20,000+ packages will still take a few more days. But the first couple of thousand are already live. Example:
Luca Foschini (@calimagna) 's Twitter Profile Photo

Hello X-verse! At Sage Bionetworks we're hiring for a bunch of new roles. Do you care about health & bio data to actually translate into patient benefit? Apply here: 👇 sagebionetworks.org/careers Please RT and help me spread the word!

Hello X-verse!

At <a href="/Sagebio/">Sage Bionetworks</a> we're hiring for a bunch of new roles.

Do you care about health &amp; bio data to actually translate into patient benefit?

Apply here: 👇

sagebionetworks.org/careers

Please RT and help me spread the word!
dana_peer (@dana_peer) 's Twitter Profile Photo

4) The scientific method also applies to computational results: proper controls and negating all alternative hypotheses are just as important in computational biology as in bench experiments.