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Mark Riffon

@markriffon.bsky.social
81 followers 192 following 0 posts

PhD student (Epi) @ GWU. MPH (Biostats) from WVU. Opinions are my own. He/him. 🏳️‍🌈

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Reposted by Mark Riffon
Ariel Edwards-Levy @aedwardslevy.bsky.social · 01/07/2026
please don't call statisticians "data scientists," they hate that, survey finds www.amstat.org/docs/default...
Statistics or data science?
As in 2020, three-quarters of those in statistics or data science prefer to be known professionally
as a statistician, compared with just 5 percent who prefer to be known as a data scientist. It
makes no difference to 14 percent, and 5 percent prefer to be known professionally as some other
title.
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Reposted by Mark Riffon
Thomas Lin Pedersen @thomasp85.com · 20/04/2026
I am excited beyond description to lift the veil on what we have been working on in 2026: Please meet ggsql! A new extension of the SQL language for creating visualisations using the grammar of graphics. Read all about it in the blog post or visit the website at ggsql.org
opensource.posit.co
ggsql: A grammar of graphics for SQL
Introducing ggsql, a grammar of graphics for SQL that lets you describe visualizations directly inside SQL queries.
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Reposted by Mark Riffon
Julia M. Rohrer @dingdingpeng.the100.ci · 13/02/2026
New blog post about the age-period-cohort identification problem! In which, for the first time ever, I ask "What's the mechanism?" and also suggest that sometimes you may actually *not* be interested in causal inference. www.the100.ci/2026/02/13/o...
the100.ci
One approach to the age-period-cohort problem: Just don’t.
Just to cause yourself more problems, you seek for something. But there is no need for you to seek anything. You have plenty, and you have just enough problems. Shunryū Suzuki in a 1971 talk A ...
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Reposted by Mark Riffon
Tim Morris @timpmorris.bsky.social · 18/12/2024
Regular reminder that we basically just make up what gets designated 'lower' and 'higher' order terms in regression models. This paper isn't constructive but is fun. Don't rely on the marginality principle! @maartenvsmeden.bsky.social onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?
The marginality principle guides analysts to avoid omitting lower-order terms from models in which higher-order terms are included as covariates. Lower-order terms are viewed as “marginal” to higher-...
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