Jeffrey Blume

Data, Science, and Statistical Evidence

[UVA School of Data Science @uvadatascience]

The School of Data Science is excited to announce the appointment of Jeffrey D. Blume as the Quantitative Foundation Associate Dean of Academic and Faculty Affairs, effective July 25. Learn more: https://t.co/D3DcD2LpXB

[Jeffrey Blume @StatEvidence]

Thanks for the highlight!

[Richard Stevens @ebhcmedstats]

and this by Fletcher Mercaldo & @StatEvidence https://t.co/IJrarRz2Ay

[Vanderbilt University Data Science Institute @VUDataScience]

Our DS Teams class, taught by @cassyld, partnered with industry client @TheGeneralAuto for a final project to create a predictive modeling approach for their needs. Our first place prize goes to Ali, Yasi, Lakshay, and Drew! Runners up: Joey, Umang, Wenying, and Baiyu. Congrats!

[Simon Vandekar @VandyAtVandy]

... is asymptotically unbiased under model misspecification.

2/2

[Simon Vandekar @VandyAtVandy]

Cohen's "d" won't cut it? Try our robust effect size index, it has the same formula regardless of model (e.g. LM, GLM, GLMER), can accommodate covariates, and ...

open access link https://t.co/SYFxxoR8Eq
with @StatEvidence @dragontanrao

1/2

[Jeffrey Blume @StatEvidence]

Exciting Opportunity!

[Vanderbilt University Data Science Institute @VUDataScience]

What makes the Vanderbilt M.S. in Data Science program unique? Check out our new video! As a reminder, the deadline to apply is this Saturday, February 15th.

[Dr. Melinda Aldrich, MPH, PhD @MelindaAldrich]

Happy to announce the release of our work evaluating lung ca screening guidelines in African Americans. Diversity matters! @SandlerRhodes Evaluation of USPSTF Lung Cancer Screening Guidelines Among African American Adult Smokers https://t.co/dI6miSlX3o

[Vanderbilt University Data Science Institute @VUDataScience]

WE'RE HIRING! Looking for Data Scientists of all levels (chief, senior, entry). Come join us in launching our new trans-institutional Data Science Institute at @VanderbiltU. https://t.co/RAYvAL4to0

[Abraham E. Gracia R. @Abraham_RMI]

If you want to understand why not use P-values ​​to compare the basic characteristics of the groups to be compared in a clinical trial, then you have to read this MAGNIFICENT twetorial. 👇🏼👇🏼👇🏼

[Jeffrey Blume @StatEvidence]

Very excited about this!

[Jeffrey Blume @StatEvidence]

@omaclaren You need more refined notation, something like Z(X*), to represent the connection between the changing level of X and Z. Here is a nice paper that has a crosswalk in it for regression models (table 1). https://t.co/i6yoQTupBf

[Jeffrey Blume @StatEvidence]

@mikelove @paulfharrison I’m not sure how I feel about this actually. You could have highly significant genes close to the grand mean or far from it. In one of those cases I might want to shrink and the other not. Seems like here only the more variable effects are being shrunk.

[Jeffrey Blume @StatEvidence]

@JamesSteeleII @lakens Yes. But we are assuming the two approaches have the same null interval. But in general, they are sensitive to how the null interval is set.

[Jeffrey Blume @StatEvidence]

@lakens @raj_mehta I’ve actually never heard that before. Good quote. Very true for statistics papers.

[Jeffrey Blume @StatEvidence]

@lakens @raj_mehta Super. I’m looking forward to it.

[Jeffrey Blume @StatEvidence]

@lakens @raj_mehta I’d be happy to collaborate on the paper…assuming we could agree on the message. 😁 But at the least, I’d be happy to check out any code or examples if you wanted to run them by me.

[Jeffrey Blume @StatEvidence]

@lakens @raj_mehta Yes, rope is also very close to what we do. A paper point out the similarity would be good.

[Jeffrey Blume @StatEvidence]

@lakens @JamesSteeleII True! But few understand that, I think. I get asked to adjust my p-values all the time.

[Jeffrey Blume @StatEvidence]

@lakens @JamesSteeleII That’s only true for a p-value that is not adjusted for multiple looks and multiple endpoints, right? Sorry about the details, but here they are important.