I fall in love with @gt-package.bsky.social every time I use it.
I remember back in my early days when I’d manually make tables by looking at values in SAS outputs. Glad that is behind me. #rstats #statsky
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#Statsky
Latest posts tagged with #Statsky on Bluesky
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Posts tagged #Statsky
Is the Effect Heterogeneity in Your Data Real?
In today's issue of Causal Python Weekly:
- A new paper by Ana Paula Armendariz and Martin Huber on testing for heterogeneity and confounding in high-dimensional mixed data (observational + experimental)
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#CausalSky #StatSky #EpiSky #EconSky
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I attended multiple sessions at #FCSM2026 about low response rates to survey. I am 100% confident that ICE raids cause fear among respondents. Federal data are not meant to exploit people's basic needs. Thanks, @csmarcum.bsky.social for the discussion.
#statsky #srms #defenddata #defendresearch
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Hivemind: I want to know the increase in survival time from repeated Tx visits over uneven times. Pts can be followed up repeatedly, and Tx can be given over multiple visits. I'm after time to each visit and time-to-outcome. What would you do? Weibull frailty model? This is in brms. #statsky #rstats
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Very Handy!
The latest version of CausalPy introduces a new piecewise interrupted time series (ITS) class.
CausalPy is a popular Python library for modeling quasi-experimental data.
The new version comes with a brand new...
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#CausalSky #EconSky #EpiSky #MLSky #StatSky
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Having built a lot of (tabular data) clinical prediction models over the past few years, it's astonishing how close you get to the AUC of most ML models just by whacking a spline on your important continuous variables. rcs() go brrrr
#rstats #statsky
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I have to self-teach most of the stats and econometrics I apply in my work. SEO has made finding good resources incredibly frustrating, and if LLMs can help me quickly learn a concept, show me how it works in R, and find a good book/article on the topic, it's an unambiguous win. #statsky #econsky
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I've been at #FCSM2026 today because federal data matter. @clairemkbowen.bsky.social is cited here, and there's no paywall needed to read this! #defenddata #defendresearch #statsky #AIsky
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Just in: "it's not every day you see a 500mm lens for Mamiya 645" they say, but today is a day, and this is a 500mm lens for a Mamiya 645, and if we extrapolate from that one data point we can safely say with 100% certainty that you will see a 500mm lens for a Mamiya 645 every day. #statsky #science
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Truncated count models should come with a bright, flashing warning light (and maybe some sort of horn) alerting users to the complexities of coefficient interpretation.
Or maybe raw coefficient interpretation should just be outlawed? #rstats #statsky
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What can the Clinical Frailty Scale tell us about planning for death? By Dr Robin Blythe and Prof. Adrian Barnett. Blog post for palliAGED and CareSearch, the Palliative Care network.
Contributed a blog to CareSearch/palliAGED on our external validation of the #clinicalfrailtyscale. The CFS is very widely used but we showed limited prognostic value. Better to think of it as a cue for discussing ageing and death with older pts than as a marker to assign treatment
#statsky #ageing
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"Just Plot the Data"
Which of the two datasets is normally distributed?
Plotting the data might seem like the most assumption-free way to examine its properties.
But is that really the case?
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#StatSky #Biostatistics #EconSky #EpiSky
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Reminder to #hpss #hpsr #hspr #episky #statsky #AIsky #RWDsky that the #ICHPS2027 proposal deadline is approaching. Submit a workshop or session idea. @csmarcum.bsky.social and @cynthiarudin.bsky.social are our keynote speakers!
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What a Week!
We literally had too many topics to fit into one newsletter this week.
Here's what we picked:
- Alberto D. Horner reviews the brand new book by Quentin Gallea, PhD
- David Rohde on why policies are stochastic in reinforcement learning
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#CausalSky #StatSky #EconSky #EpiSky #MLSky
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Interactive resources With the power of OJS and Quarto, I’ve created a few interactive websites to illustrate trickier statistical concepts when teaching. Check them out (and adapt and copy as much as you want!) With links to three different websites (accessible at the main link in the post)
Finally got around to adding fancy links to my different interactive teaching websites for showing things like p-hacking, p-value interpretations, and (still-in-draft-form) DAGs at www.andrewheiss.com/teaching/ #rstats #QuartoPub #statsky
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Modern Science Relies on an Idea That Disproving Is Easier Than Proving.
The idea was proposed by Karl Popper nearly a century ago.
We call it "falsificationism"
A million white swans don't prove all swans are white.
Neither does a trillion.
But...
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#StatSky #EpiSky #Biostatistics #EconSky
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Last Friday, We Launched "Intro to Biostatistics" with Justin Bélair
Two ideas inspired us to build it:
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#StatSky #Biostatistics #EpiSky
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Can someone point me to published comment on the pros/cons of standardised risk of bias tools vs question specific tools?
#EpiSky #StatSky
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Doing a discrete choice experiment for the first time and {logitr} by @jhelvy.bsky.social has saved the day and my sanity. Takes data frames, easy to understand, and crucially, incredibly fast for multinomial logit. We are so lucky that people do this for science and not profit
#rstats #statsky
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#ICHPS2027 is now accepting proposals for invited workshops and sessions. Come join us in Annapolis. The deadline to submit your proposal is March 31, 2026. The theme is Evidence-based Policy in Action: Statistics, AI, and Digital Health in Practice. #hpss #hspr #hpsr #statsky #AIsky #RWD
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To elaborate on this a little in a health economics context: I do some work on the effectiveness of algorithmic prediction on pt outcomes. Identifying both mechanisms and outcomes is an *incredibly* complicated process, not least because patients are always being intervened upon. >
#statsky #episky
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The Optimal Split for an A/B Test Is 50:50
Unless...
I recently saw a post explaining why the optimal split between treatment and control groups should be 50:50.
The optimal split is indeed 50:50, but only under one assumption:
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#CausalSky #StatSky #ABTest #EpiSky #MLSky #EconSky
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Can we stop comparing ML/AI to "traditional" analysis, as if there is this artisanal cottage industry of kindly rural craftsmen doing logistic regressions by hand, taking them to sell at the farmer's market?
#statsky #rstats
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You Train Your Robot in August, It Trashes Your Garden in September.
In today's issue of causal Python Weekly:
- Causal POMDPs (Partially Observed Markov Decision Processes): Planning when the world changes - a review of...
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#CausalSky #MLSky #AISky #EconSky #StatSky
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Should you use a t-test if n >= 30?
Perhaps. But most “which test should I use?” rules are wrong.
Most of these rules exist because we were trained to think in reverse: starting with procedures instead of questions.
The sad truth is that...
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#StatSky #CausalSky #EpiSky #EconSky
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A screenshot of a paragraph from a piece of writing about statistics that reads: When the international community of physicists agreed on the statistical analysis they would perform on the data they collected at the Large Hadron Collider, they were doing statistics. But when they agreed what the conditions were for declaring the Higgs boson real or not, they were not really doing good statistics anymore. They were agreeing a position as a scientific community about when and how to leave an uncertain world and enter a new world with one new piece of certainty attached to it. The statistical work was one (small) piece of this decision making process. This community-driven process, viewed as a whole, should not, in my view, be seen as a part of statistics, though I understand that it looks like it could be. I should be really explicit here and emphasise that saying something is not statistics is not the thing same as saying that it is bad science.
Trying to write about "good statistical practice" and applying statistics to models with immense predictive power is the final boss.
I feel like this is a weird place to draw a line but I have to draw it here to be consistent with my opinions on messier applications of stats.
#statsky
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