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rpsychologist.com
Mostly stats, visualization, open science, and psychotherapy. https://rpsychologist.com
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Posts 17 Comments 33

A common sentiment is “I can’t share my code because it’s messy and there might be errors” But if it’s that untrustworthy, why are you publishing the results it generates?

submitted 23 hours ago • 2 comments

I see this a lot in longitudinal analysis—people assume missingness can depend on random effects (like slopes). But those aren’t conditioned on, so that kind of missingness would be non-ignorable (MNAR).

submitted 3 days ago • 1 comment

This new package for mediation is great! The user interface is *so intuitive* but the unsung hero of this software is the documentation:

submitted 3 days ago • 1 comment

Despite the well-polished workflow of this package, I tried to analyze the “useless data set” that comes with it using {mediation}. Treatment and mediator were (strongly) confounded, so we need to pay close attention to the sensitivity analysis!

submitted 3 days ago • 1 comment

This is great. It even handles binary and count outcomes appropriately!

submitted 4 days ago • 0 comments

🚨New R package! {easymediation}🚨 The *Simplest* and *Most Correct* Way to Do Causal Mediation Analysis Are you tired of explaining mediation analysis to your colleagues? Just send them this package. github.com/rpsychologis...

submitted 4 days ago • 5 comments

Step 1: Say data are MNAR Step 2: Toss in random values Step 3: Call it conservative I’ll definitely adopt this model-free way of handling MNAR, what could go wrong?

submitted 5 days ago • 1 comment

Amazing observation in a paper: people use smartphones while waiting. I’ve also observed that people read magazines they’d never touch anywhere else while waiting. Proposing a new disorder: "Compulsive Magazine Reading". Urgent need for intervention programs

submitted 8 days ago • 4 comments

Been reading up on causal prediction – let me know if I’ve got this right: Clinical prediction: Hard. Causal inference: Hard. Causal prediction: Combines the hardest parts of both. Predict outcomes we can’t observe, and evaluate models by making even more assumptions about an unobservable target.

submitted 11 days ago • 3 comments

NEW PAPER: Updated CONSORT-2025 for reporting randomised trials is now available in the @bmj.com @jama.com , @thelancet.bsky.social, @plos.org and @naturemedicine.bsky.social —> www.bmj.com/content/389/... #openscience #transparency #medsky #statssky #episky

submitted 25 days ago • 2 comments

Hear me out, psychologists are the OG vibe coders. Picking factors by squinting at scree plots, naming latent variables on instinct, fitting SEMs based on celestial drawings, and publishing without a care.

submitted 23 days ago • 1 comment

New blog post! Sometimes, when reviewing a manuscript, it's really unclear to me what precisely the authors are trying to do -- which makes it hard to evaluate the work properly. So, here's some advice for how to ensure that readers don't get lost. www.the100.ci/2025/02/17/r...

submitted 81 days ago • 6 comments

Trying to compile a list of people with active pedagogic interests in teaching statistics go.bsky.app/Qg6YSq6

submitted 109 days ago • 32 comments

Please stop telling me about risk factors. 🙏😖 (ICYMI) statsepi.substack.com/p/sorry-what...

submitted 110 days ago • 9 comments

This looks *extremely* neat. Kristoffer consistently provides exceptionally useful tools and visualizations 🤩

submitted 149 days ago • 0 comments

💙 this web app for examining multilevel models' precision & sample size planning. (Now I just need to pair it with Claude to input the numeric predictions from my verbal descriptions 😉.)

submitted 149 days ago • 1 comment

Introducing PowerLMM.js! A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests. powerlmmjs.rpsychologist.com Would really appreciate your feedback as I refine this app! Details below 🧵👇

submitted 150 days ago • 12 comments