Solomon Kurz (@solomonkurz) 's Twitter Profile
Solomon Kurz

@solomonkurz

Clinical psychology researcher | applied statistics geek | causal inference curious | so called #RStats influencer

ID: 970129891147632641

linkhttps://solomonkurz.netlify.com calendar_today04-03-2018 02:52:44

15,15K Tweet

8,8K Followers

634 Following

Shachar Hochman, PhD (@hochmanshachar) 's Twitter Profile Photo

1/6 Excited to launch my blog! First post: Using Bayesian hierarchical models to rescue "unreliable" cognitive tasks. The dot-probe task serves as my case study 🧠📊 cogpsychreserve.netlify.app/posts/dotprobe…

Saloni (@salonium) 's Twitter Profile Photo

Hey researchers, bloggers, everyone interested in fertility data! We recently added lots of new data at Our World in Data on fertility rates, ages at childbirth, twin birth rates, birth seasonality, and more. Here's a thread of what you can find on the site! 🧵

Saloni (@salonium) 's Twitter Profile Photo

That's probably because this excerpt isn't correct: You can't simply multiply the initial population size by fertility rates to get a final population size. Remember that previous fertility rates also influence how many people of childbearing age are around to give birth,

Eiko Fried (@eikofried) 's Twitter Profile Photo

Are you doing #EMA research and wonder how to go about it? In recent work we've adressed some open questions and challenges, here is a brief summary of papers and materials. 🧵

ᴅʀ ᴍɪʀᴄᴇᴀ ᴢʟᴏᴛᴇᴀɴᴜ 🌼🐝 (@mzloteanu) 's Twitter Profile Photo

#statstab #299 The role of "max_treedepth" in No-U-Turn? Thoughts: Once you start using more complex models you will run into issues at some point; this is one; good solution guide. #brms #bayesian #modeling #stats #issues #solutions #stan #forum discourse.mc-stan.org/t/the-role-of-…

Matthew B Jané (@matthewbjane) 's Twitter Profile Photo

Error Report #2: matthewbjane.quarto.pub/meta-analysis-… The meta-analysis by Stanyer et al. (2022) contains substantial data extraction errors (i.e., effect size calculation errors). Due to the severe data extraction errors and the meta-analytic results for memory retention scores are

Error Report #2: matthewbjane.quarto.pub/meta-analysis-…

The meta-analysis by Stanyer et al. (2022) contains substantial data extraction errors (i.e., effect size calculation errors). Due to the severe data extraction errors and the meta-analytic results for memory retention scores are
Our World in Data (@ourworldindata) 's Twitter Profile Photo

📊 Data update: We've just updated many of our charts on marriage and divorce! Explore the data on questions like: – How many people are getting married worldwide, and how has this changed over time? – How many people are getting divorced? – How many children are born outside of

📊 Data update: We've just updated many of our charts on marriage and divorce!

Explore the data on questions like:
– How many people are getting married worldwide, and how has this changed over time?
– How many people are getting divorced?
– How many children are born outside of
Chelsea Parlett-Pelleriti (@chelseaparlett) 's Twitter Profile Photo

powering for precision of your estimate is *very often* more useful than powering for statistical significance. I often run into marketing incrementality testing recommendations that base recommendations on statistical power, but precision is a better way to frame this.

Dr. Amanda Kay Montoya (@amandakmontoya) 's Twitter Profile Photo

I saw recently a post of an example of journal rejecting a reanalysis of one of their own published papers. Did anyone catch that, and could maybe link it to me? I tried to find again, but was unsuccessful.

ᴅʀ ᴍɪʀᴄᴇᴀ ᴢʟᴏᴛᴇᴀɴᴜ 🌼🐝 (@mzloteanu) 's Twitter Profile Photo

#statstab #350 Communicating causal effect heterogeneity Thoughts: Cool guide on properly communicating uncertainty in effects. #bayesian #uncertainty #ggplot #r #brms #tidybayes #heterogeneity vuorre.com/heterogeneity-…

John B. Holbein (@johnholbein1) 's Twitter Profile Photo

Want a simple illustration of how results can be incredibly sensitive in small samples? Here you go! This visualization provides raincloud plots with N=20 (on the left) & N=500 (right). There is no difference between the two conditions other than the N. Statistical power

Solomon Kurz (@solomonkurz) 's Twitter Profile Photo

I'm looking for open data sets with some continuous y variable (roughly Gaussian), and two nominal predictors each with 3+ levels, the kind of data you'd analyze with a between-person two-factor ANOVA. Topics should be of interest to social-science students. Ideas? #rstats