Pausal Zivference
Paul Zivich, Assistant (to the Regional) Professor
Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast.
github.com/pzivich
#epidemiology #statistics #python #episky #causalsky
- Reposted by Pausal ZivferenceCool paper from @keling-wang.com showing that 35% of randomly selected diabetes guideline recommendations use stronger causal language than the papers they cite. Such "causal jumps" are not necessarily unwarranted but, at best, lack of transparency in how causal conclusions were arrived at.
- Last week I put out the v4.0 release of `delicatessen`, so I will summarize the new additions here
- That K cliff looks like it drops off into the abyss
- Reposted by Pausal Zivference[Not loaded yet]
- As I am working on a major update to `delicatessen`, a catch-up #MEstimatorMonday (50/52) about a feature I am going to add Currently, I do not automatically handle non-independent data. v4.0 is likely to change this github.com/pzivich/Deli...
- This #MEstimatorMonday (49/52) let's look at beta regression. Beta regression is another regression model but for the case where the outcome Y is bounded (0,1) So, it is good for modeling proportions as outcomes. While we can also use fractional logistic regression, this is another option
- I'm trying to find an example that was on Twitter back in 2021 to 2022 and hoping someone remembers better than me There was a very illustrative example of confounding by age for vaccination and COVID-19 outcomes. The vaccine looked harmful marginally, but was protective in each strata
- Reposted by Pausal ZivferenceYou can do this right now: Think of a person who wrote a paper you love, whose work influenced or helped you, or has made your professional life better. Search up their email address. Shoot them a quick email of thanks. It means so, so much. This is a rough time of year, share some joy.
- Since it's not actually Monday, I feel less guilty about this #MEstimatorMonday (48/52) which tells you how to do mediation analysis with estimating equations Let consider the effect of action A on outcome Y through mediator M
- It's finals week, so let's space out on this #MEstimatorMonday (47/52). I've read a few astronomy books lately, so I was inspired to find an astrostatistics example with `delicatessen`. The following example models quasars deli.readthedocs.io/en/latest/Ex...
