Filip Dechterenko
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fdechterenko.bsky.social
Filip Dechterenko
@fdechterenko.bsky.social
200 followers 540 following 6 posts
Vision scientist interested in memory and multiple object tracking. Also collaborates on bunch of other projects as statistician.
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Reposted by Filip Dechterenko
martinhebart.bsky.social
It’s not too late to apply for the PhD position in my lab! Please send your documents (cover letter, CV, transcripts, names of references) through the official application platform by Nov 25!
martinhebart.bsky.social Martin Hebart @martinhebart.bsky.social · 24d
Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026.

The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social.

Please apply here until Nov 25:
www.uni-giessen.de/de/ueber-uns...
View from your office onto Giessen and surrounding villages.
November 24, 2025 at 8:55 AM
Reposted by Filip Dechterenko
statsepi.bsky.social
The advances we've made in statistics, experimental study design, and causal inference over the past century are remarkably useful for understanding our world. But there is never been a push to make people use them like we are seeing with generative AI. Perhaps take a moment to consider why.
November 7, 2025 at 9:07 AM
Reposted by Filip Dechterenko
utochkin.bsky.social
Check our new Psych Science paper w/Daniil Azarov & Daniil Grigorev. Although an ability to recognize a familiar object among new ones clearly depends on how many and which objects there are, we show a remarkable stability of underlying "representational spaces"
journals.sagepub.com/doi/10.1177/...
October 24, 2025 at 1:52 PM
Reposted by Filip Dechterenko
djnavarro.net
It’s been a little overshadowed by the slightly unexpected mental health issues that hit me very hard yesterday afternoon, but for what it’s worth here’s the GAMLSS regression post I’ve been working on for the past month #rstats

blog.djnavarro.net/posts/2025-0...
GAMLSS, NHANES, and my own personal hell – Notes from a data witch
Fiiiiiiinally she writes the cursed GAMLSS post. Oh and it’s also about the NHANES data set I guess
blog.djnavarro.net
September 8, 2025 at 11:13 PM
Reposted by Filip Dechterenko
dingdingpeng.the100.ci
Fitting a generalized mixed model with a gamma distribution log link and random slopes to reaction time data to arrive at precisely the same point estimate as the authors did by simply averaging and conducting a t-test:
May 28, 2025 at 5:22 PM
Reposted by Filip Dechterenko
csprofkgd.bsky.social
A new use of the asterisk in the paper author list for credit assignment
May 18, 2025 at 6:23 PM
Reposted by Filip Dechterenko
jbakcoleman.bsky.social
We’ve reached the arresting judges phase.

www.nytimes.com/2025/04/25/u...
Wisconsin Judge Arrested, Accused of Shielding Immigrant From Federal Agents
Judge Hannah Dugan was arrested on suspicion that she “intentionally misdirected federal agents away from” an immigrant being pursued by the authorities, the F.B.I. director said in a social media pos...
www.nytimes.com
April 25, 2025 at 3:19 PM
Reposted by Filip Dechterenko
mekline.bsky.social
Psych-DS is (1) spellcheck for your datasets and (2) a pathway to standardizing data in our academic fields that *everyone* can learn.

And it's live RIGHT NOW!

psych-ds.github.io

(This is the announcement post I've been leading up to)
Psych-DS
A specification for psychological datasets. JSON metadata, predictable directory structure, and machine-readable specifications for tabular datasets.
psych-ds.github.io
April 9, 2025 at 7:37 PM
Reposted by Filip Dechterenko
bxjaeger.bsky.social
Nice tutorial on how to do signal detection analyses in R with the brms package
@matti.vuorre.com

osf.io/preprints/ps...
April 9, 2025 at 2:01 PM
Reposted by Filip Dechterenko
andrew.heiss.phd
I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :(

So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
Screenshot of the linked Quarto website, with input checkboxes to change different conditions for a regression model that predicts economic performance based on US political party, with a reported p-value
March 20, 2025 at 6:30 PM
Reposted by Filip Dechterenko
ar0mcintosh.bsky.social
With a heavy heart, I've decided to suspend all academic travel to the USA for me and my lab. Given the escalation of tensions and uncertainties, it seems to be the wisest move. To our US colleagues, please be certain that we will continue to do what we can to support you. Science is global.
March 16, 2025 at 11:07 PM
Reposted by Filip Dechterenko
andrew.heiss.phd
I really liked this idea of using a histogram as a legend in a choropleth map (since land isn't unemployed; people are), so I made a little guide to doing it with #rstats, {ggplot2}, and {patchwork}

www.andrewheiss.com/blog/2025/02...
February 19, 2025 at 5:58 PM
Reposted by Filip Dechterenko
solomonkurz.bsky.social
New blog up: solomonkurz.netlify.app/blog/2025-02...

This time I dip my toes into causal inference for quasi-experiments using matching methods, and my use case has missing data complications. Many thanks to @dingdingpeng.the100.ci and
@noahgreifer.bsky.social
for their peer review! #RStats
Matching, missing data, a quasi-experiment, and causal inference--Oh my! | A. Solomon Kurz
I'm finally dipping my does into causal inference for quasi-experiments, and my first use case has missing data. In this post we practice propensity score matching with multiply-imputed data sets, and...
solomonkurz.netlify.app
February 4, 2025 at 4:36 PM
Reposted by Filip Dechterenko
michelnivard.bsky.social
🚨 I am soft Launching a full stable version of Ridian, which brings R to Obsidian, check out the website, and download the plugin from the Obsidian app or plugin website. #rstats #quartopub #obsidian
This is idian: – {{< iconify fa6-brands r-project >}}idian
michelnivard.github.io
November 24, 2024 at 2:00 PM
Reposted by Filip Dechterenko
aaronjfisher.bsky.social
Causal methods peeps. Can you point me to a good intro reading on DAGs? Something more easily digestible than Pearl's primary papers but more technical than the kinds of 30,000-ft summaries you get from a Google search.
November 24, 2024 at 7:42 PM
Reposted by Filip Dechterenko
sydneyg.bsky.social
Folks who use #rstats with github, how am I supposed to be managing the data for my project with 100mb file size limit? Am I going about this all wrong?
September 19, 2024 at 6:17 PM
fdechterenko.bsky.social
It was really great talk!
ecvp.bsky.social ECVP 2025 @ecvp.bsky.social · Aug 25
A big thank you to Perception Keynote Speaker Dr. Bevil Conway for the outstanding lecture on “Principles of Neuroscience in Color.” #ECVP2024
August 25, 2024 at 7:05 PM
Reposted by Filip Dechterenko
andrew.heiss.phd
New blog post! Read about Posit's new Positron editor, see some of the neat new features it has, and check out the settings and extensions I use. It includes a bonus workaround for connecting to a remote server with SSH! #rstats
Fun with Positron | Andrew Heiss
Combine the best of RStudio and Visual Studio Code in Posit’s new Positron IDE
www.andrewheiss.com
July 8, 2024 at 1:51 PM
fdechterenko.bsky.social
Our new paper - ChatGPT improves creativity, boosts self-efficacy, and makes problem-solving tasks easier and requiring less mental effort.
Magic link to pass through authors.elsevier.com/a/1iqFi1Hucd...
authors.elsevier.com
March 27, 2024 at 2:34 PM
Reposted by Filip Dechterenko
andrew.heiss.phd
New blog post! Have you (like me!) wondered what the ATT means and how it's different from average treatment effects? I use #rstats to explore why we care about the ATE, ATT, and ATU + how to calculate them with observational data! #polisky #episky #econsky www.andrewheiss.com/blog/2024/03...
Before we calculate these different treatment effects with the realized outcomes instead of the hypothetical potential outcomes, let’s look really quick at the practical difference between the true ATE, ATT, and ATU. All three estimands are useful for policymaking! The ATE is −15, implying that mosquito nets cause a 15 point reduction in malaria risk for every person in the country. This includes people who live at high elevations where mosquitoes don’t live, people who live near mosquito-infested swamps, people who are rich enough to buy Bill Gates’s mosquito laser, and people who can’t afford a net but would really like to use one. If we worked in the Ministry of Health and wanted to know if we should make a new national program that gave everyone a free bed net, the overall reduction in risk is −15, which is probably pretty good! The ATT is −16.29, which is bigger than the ATE. The effect of net usage is bigger for people who are already using the nets. This is because of underlyi Mirrored histogram showing “weird” parts of the population: treated people who were unlikely to be treated, and untreated people who were likely to be treated Mirrored histogram showing pseudo-populations of treated and untreated people that have been reweighted to be more comparable and unconfounded
March 21, 2024 at 1:50 PM
Reposted by Filip Dechterenko
andrew.heiss.phd
This is a really neat paper that argues that more detailed grading systems (e.g, A–F) are *worse* for student motivations and outcomes than more simpler ones doi.org/10.1016/j.je...

It tracks with my own check-based grading system (✓, ✓+, and ✓−), and now I have more evidence backing that up :)
Title page for "The effects of more informative grading on student outcomes" in the Journal of Economic Behavior and Organization, with this abstract: More granular grading scales provide a more accurate assessment of achievement and thus provide students with more informative feedback on their performance. Using Swedish administrative data and exploiting a natural experiment, we identify the effects of moving from a system with three passing grades to one with five passing grades. Students receiving more informative grades are less likely to graduate from high school, from academic high school tracks, and from STEM and art high school tracks. Affected students are also less likely to enrol in STEM courses at university. The evidence suggests discouragement as a likely mechanism, with students revising their self-belief downward when receiving more informative feedback. My own grading system details: Problem sets To practice writing R code, running inferential models, and thinking about causation, you will complete a series of problem sets. You need to show that you made a good faith effort to work each question. I will not grade these in detail. The problem sets will be graded using a check system: ✔+: (33 points (110%) in gradebook) Assignment is 100% completed. Every question was attempted and answered, and most answers are correct. Document is clean and easy to follow. Work is exceptional. I will not assign these often. ✔: (30 points (100%) in gradebook) Assignment is 70–99% complete and most answers are correct. This is the expected level of performance. ✔−: (15 points (50%) in gradebook) Assignment is less than 70% complete and/or most answers are incorrect. This indicates that you need to improve next time. I will hopefully not asisgn these often.
February 26, 2024 at 3:45 PM
Reposted by Filip Dechterenko
ruben.the100.ci
New post on estimating the reliability of parameters in multilevel models. There's an easy solution using the standard errors of your shrunk parameters. It feels kind of obvious, but maybe it isn't sufficiently obvious yet.
rubenarslan.github.io/posts/2024-0...
Rel = 1 - (SEE^2)/V_T
February 26, 2024 at 4:03 PM
Reposted by Filip Dechterenko
natrevpsychol.nature.com
'Noisy and hierarchical visual memory across timescales', a new Review by Timothy F. Brady (@timbrady.bsky.social), Maria M. Robinson & Jamal R. Williams (@jamalamal.bsky.social)

Web: go.nature.com/42Bhac0
PDF: rdcu.be/dyb6G

#psychology #psychscisky #cogpsyc
Categorical and continuous reproductions in memory
February 8, 2024 at 8:43 PM
Reposted by Filip Dechterenko
bignardi.bsky.social
Want to learn how to use docker for reproducible data science with R / RStudio, but not sure where to start? I just re-recorded a recent workshop talk www.youtube.com/watch?v=uvbb... #rstats #statistics #psychology #docker
https://www.youtube.com/watch?v=uvbbrefeW4I
www.youtube.com
February 7, 2024 at 6:45 PM
Reposted by Filip Dechterenko
martinhebart.bsky.social
Using deep neural networks to disentangle visual and semantic information in human perception and memory
www.nature.com/articles/s41...
Using deep neural networks to disentangle visual and semantic information in human perception and memory - Nature Human Behaviour
Here Shoham and colleagues use deep learning algorithms to disentangle the contributions of visual, visual–semantic and semantic information in human face and object representations. Visual–semantic a...
www.nature.com
February 13, 2024 at 8:31 AM