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Posts by Quantitude the Podcast

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Draw some conclusions with us tomorrow…

16 hours ago 7 1 0 1
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Um… what?! Find out tomorrow… (Bonus points if you already get the classic album cover reference.)

2 weeks ago 5 2 0 1

We know you would have gotten it right if Tibshirani had been on a curling team.

3 weeks ago 0 0 1 0
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For the record, we didn’t say you kill a kitten, we said a kitten dies. We wouldn’t presume to infer causation. 😉

3 weeks ago 11 0 1 0
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Find out tomorrow what we were doing last week…

4 weeks ago 2 1 2 0
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The past, present, and future of SEM, with Ken Bollen, tomorrow…

1 month ago 9 2 0 1
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Mentoring a research assistant

1 month ago 8 0 0 0

You kids today with your fancy “mugs”

1 month ago 2 0 1 0
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A few weeks ago you’ve heard about nmax as the insurance policy for sample size planning on @quantitude.bsky.social

Today we’re excited to launch the nmax Shiny app. Sample size planning with nmax can now be done in just a few button clicks!

🚀 yifeng-quant.shinyapps.io/nmax/

1 month ago 12 5 1 0
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Shhh. 😉

1 month ago 1 0 0 0
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Looking sharp (or fuzzy), tomorrow…

1 month ago 10 2 1 0
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2 months ago 1 0 0 0
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Feel free to share your own heartfelt quantitative sentiments as we look ahead to Valentine’s Day…

2 months ago 13 0 1 1
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Questioning our values, tomorrow…

2 months ago 7 2 3 1
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2 months ago 1 0 0 0
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Seeing our shadow tomorrow…

2 months ago 12 2 1 0

The only thing that comes to mind right now is the “ubiquitous cat’s cradle.” Look for work by Masyn (2008-2011) and Sher (2012). See if either that work, or work that has cited that work, points you in the right direction. Good luck!

2 months ago 5 0 1 0

As for sample size requirements, that sounds like an interesting methodological question worthy of deeper investigation. Let us know what you find, my friend. 😊

2 months ago 1 0 0 0
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All of our statistical models make assumptions. When reasonable, they can facilitate better a better understanding of the world; when unreasonable they can inhibit that understanding. TVEM is a versatile way to loosen some assumptions, in hopes of a more accurate, nuanced approximation of reality. 

2 months ago 2 0 0 0
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We’ll wait…

2 months ago 1 0 0 0

As always, Jeff, thanks for sharing your valuable time with us. 😊

3 months ago 1 0 0 0
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Time for TVEM, tomorrow…

3 months ago 15 4 2 3
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3 months ago 21 1 1 0
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3 months ago 1 0 0 0
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When your postdoc does the data analysis and gets p=.049

3 months ago 21 0 1 0
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So glad you found us, Lana! 😊

4 months ago 1 0 0 0
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We were… useful?

4 months ago 3 0 1 0
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The gift that keeps on giving, tomorrow…

4 months ago 5 2 0 1

Thanks, Andrew! Feel free to throw in any references/info down below for all of us to continue learning. And happy holidays!

4 months ago 1 0 1 0
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