Connor McCabe Profile
Connor McCabe

@connorjmccabe

Followers
259
Following
45
Media
4
Statuses
74

No longer on this platform. Find me on Bluesky. https://t.co/y3SSOCkWet

Joined August 2019
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@connorjmccabe
Connor McCabe
6 months
I have been minimally involved on this platform for some time now, but you can now find me on Bluesky (. Colleagues, please feel free to follow me there as this will be my last post here. Take care, everyone.
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@connorjmccabe
Connor McCabe
1 year
RT @JSADJournal: The longitudinal association of cumulative depression with cannabis use disorder among young adults (just accepted in @JSA….
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@connorjmccabe
Connor McCabe
1 year
Had a great time providing a workshop this morning on GLMs at #aps2024sf! I have posted all my materials at this OSF link: See the Rmd/html files for some helpful code in interpreting GLMs using marginal effects.
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osf.io
Hosted on the Open Science Framework
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@connorjmccabe
Connor McCabe
1 year
RT @ACERjournal: Longitudinal examination of alcohol use motives, item-level protective behavioral strategies, and alcohol-related conseque….
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@connorjmccabe
Connor McCabe
2 years
RT @PhDemetri: 👏 plot 👏 the 👏 conditional 👏expectation. 👏 The 👏 prediction 👏 is 👏the 👏 estimate.
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@connorjmccabe
Connor McCabe
3 years
RT @mijkenijk: Excited to announce that @EmorieBeck and I are co-editing a special issue of JRP on Modeling & Interpretation of Personality….
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@connorjmccabe
Connor McCabe
3 years
Beyond thrilled to share that my Pathway to Independence Award was funded this week by NIAAA! Will be working with the All of Us Research Program dataset to address intersectional differences and mechanisms of AUD using novel machine learning methodologies. Time to get to work!
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@connorjmccabe
Connor McCabe
4 years
Need help from the quant Twitterverse for a reference: who coined the phrase “polynomials are variables interacting with themselves”? Love the phrase and use it often, but I can’t remember where I first heard it. Thanks!.
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@connorjmccabe
Connor McCabe
4 years
RT @David_Baranger: Excited to share my first #rstats package, InteractionPoweR! InteractionPoweR uses simulations….
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github.com
InteractionPoweR: Power analysis for interactions via simulation in R - dbaranger/InteractionPoweR
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@connorjmccabe
Connor McCabe
4 years
RT @adriennedwoods: **NEW PREPRINT ALERT** ."Best Practices for Addressing Missing Data through Multiple Imputation".Preprint includes a wo….
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@connorjmccabe
Connor McCabe
4 years
RT @David_Baranger: Aguinis (2005) seems to be the go-to citation when talking about small effect sizes in interaction/moderation research….
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@connorjmccabe
Connor McCabe
4 years
Note this is under review at the Journal of Open Source Statistical Software, so please consider this in-progress. Posting to the Twitterverse for any and all feedback so it can best accommodate your needs!.
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@connorjmccabe
Connor McCabe
4 years
The big addition is plotting functionality for marginal effects. These plots can now be generated using the margplot function, which produces plots such as this one. Confidence regions on these are generated using parametric boostrapping a la King, Tomz, Wittenberg (2000)
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@connorjmccabe
Connor McCabe
4 years
Just released a package version of our modglm function corresponding with our MBR paper on interaction effects in GLMs of probabilities and counts. More info at my GitHub and in thread:.
github.com
Contribute to connorjmccabe/modglm development by creating an account on GitHub.
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@connorjmccabe
Connor McCabe
4 years
RT @PessoaBrain: Statistics: gentle introduction to 𝗵𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗰𝗮𝗹 𝗹𝗶𝗻𝗲𝗮𝗿 𝗺𝗼𝗱𝗲𝗹𝘀 with intuitive description of varying intercepts and varying….
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mfviz.com
A visual explanation of mixed-effects modeling
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@connorjmccabe
Connor McCabe
4 years
RT @patilindrajeets: Your periodic reminder that the most common statistical tests are nothing but special cases of linear models 🧐. https:….
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@connorjmccabe
Connor McCabe
4 years
RT @RCloutierPhD: Excellent🧵on addressing R&Rs.
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@connorjmccabe
Connor McCabe
4 years
We explored post-hoc race diffs in these effects as well, finding (for instance) Black SM women in particular may be at heightened risk for alcohol use. Statistical power was limited however, and we hope we (and others) will replicate/extend soon with more optimal methods.
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@connorjmccabe
Connor McCabe
4 years
In short, we tested social stressors and emotion dysregulation (ED) as serial mediators explaining risk for alcohol, marijuana, and cigarette use among sexual minority (SM) and non-SM women. Effectively, SM status->social stress->ED->MJ use, with many nuances in these effects.
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