The esci module in @jamovi.bsky.social was installed over 3,000 times in November. The R package in CRAN is getting an additional 250 downloads a month.
Are you estimation curious? So easy to get started with esci: rcalinjageman.github.io/esci/
#stats
The esci module in @jamovi.bsky.social was installed over 3,000 times in November. The R package in CRAN is getting an additional 250 downloads a month.
Are you estimation curious? So easy to get started with esci: rcalinjageman.github.io/esci/
#stats
Of 177 articles mentioning strength of correlation, 45% relied solely on point estimates; 53% only reported the p value to accompany these claims!
What are we even doing here?
Of 177 articles mentioning strength of correlation, 45% relied solely on point estimates; 53% only reported the p value to accompany these claims!
What are we even doing here?
researchintegrityconf.com
aimos-inc.github.io/aimos.confer...
researchintegrityconf.com
aimos-inc.github.io/aimos.confer...
**esci**
That's right, all your favorite estimation-focused analyses, strong hypothesis testing, and meta-analysis are available in the esci module for JASP 0.95.
#stats #metascience
Many thanks to the good people at @jaspstats.bsky.social
**esci**
That's right, all your favorite estimation-focused analyses, strong hypothesis testing, and meta-analysis are available in the esci module for JASP 0.95.
#stats #metascience
Many thanks to the good people at @jaspstats.bsky.social
Today's example: A real-time brain-to-speech interface.
Not perfect, but so exciting.
Another example of the future we're losing by destroying science funding in the US.
#neuroskyence
pubmed.ncbi.nlm.nih.gov/39837322/
Today's example: A real-time brain-to-speech interface.
Not perfect, but so exciting.
Another example of the future we're losing by destroying science funding in the US.
#neuroskyence
pubmed.ncbi.nlm.nih.gov/39837322/
That's the upshot of an amazing talk I got to hear this week from Donna Maney @ Emory based on this paper & others: elifesciences.org/articles/70817
#stats #neuroskyence
That's the upshot of an amazing talk I got to hear this week from Donna Maney @ Emory based on this paper & others: elifesciences.org/articles/70817
#stats #neuroskyence
I'd settle for something offering suggested text-matches from the authors' names to bsky accounts. Just want something to maker it easy to connect with authors when discussing their work.
I'd settle for something offering suggested text-matches from the authors' names to bsky accounts. Just want something to maker it easy to connect with authors when discussing their work.
What’s the word for when you are reading about problems in science and feel angry, appalled, sad and amazed all at once?
By this time next year will there even be any science to fix in the US?
#stats #metascience
What’s the word for when you are reading about problems in science and feel angry, appalled, sad and amazed all at once?
By this time next year will there even be any science to fix in the US?
#stats #metascience
#science #standupforscience
#science #standupforscience
#stats
#stats
It's a devastating investigation of the Rosenhan study (we should stop teaching it) -- but more than that it is an thoughtful, incisive history and commentary on the history of psychiatry. Strong recommend.
(Thanks for this book rec, @susan-nolan.bsky.social )
It's a devastating investigation of the Rosenhan study (we should stop teaching it) -- but more than that it is an thoughtful, incisive history and commentary on the history of psychiatry. Strong recommend.
(Thanks for this book rec, @susan-nolan.bsky.social )
Wired: Testing against an interval null
An interval null is more stringent and fair. Test results are: substantive, negligible, or inconclusive.
esci tests interval nulls for many designs:
rcalinjageman.github.io/esci/
#statsky #neuroskyence
Wired: Testing against an interval null
An interval null is more stringent and fair. Test results are: substantive, negligible, or inconclusive.
esci tests interval nulls for many designs:
rcalinjageman.github.io/esci/
#statsky #neuroskyence
Wired: comparing medians!
esci and statpsych let you compare medians for simple & complex designs. That's right, you can express an interaction as a difference in the difference of *medians*.
dgbonett.github.io/statpsych/
rcalinjageman.github.io/esci/
#stats #neuroskynce
Wired: comparing medians!
esci and statpsych let you compare medians for simple & complex designs. That's right, you can express an interaction as a difference in the difference of *medians*.
dgbonett.github.io/statpsych/
rcalinjageman.github.io/esci/
#stats #neuroskynce
Use esci to generate effect sizes and confidence intervals for lots of basic designs, beautiful figures emphasizing estimation, meta-analysis, and *interval hypothesis tests*.
install.packages("esci")
docs: rcalinjageman.github.io/esci/
#stats #rstats
Use esci to generate effect sizes and confidence intervals for lots of basic designs, beautiful figures emphasizing estimation, meta-analysis, and *interval hypothesis tests*.
install.packages("esci")
docs: rcalinjageman.github.io/esci/
#stats #rstats
Big thanks to all who helped make this possible. Feedback welcome!
#stats #OpenScience
Big thanks to all who helped make this possible. Feedback welcome!
#stats #OpenScience
Here's a fantastic tutorial by Jeffrey Spence on prediction intervals with practical examples using the predictionInterval package in R: journals.sagepub.com/doi/10.1177/...
Will definately be adding PIs to esci.
I especially like this bit:
Here's a fantastic tutorial by Jeffrey Spence on prediction intervals with practical examples using the predictionInterval package in R: journals.sagepub.com/doi/10.1177/...
Will definately be adding PIs to esci.
I especially like this bit: