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Reposted by James Steele

Liam Satchell @liamsatchell.bsky.social · 10h

New paper! - I was wrong! We checked and checked again we were definitely wrong.

And I couldn't be happier that we are able to publish these findings at QJEP - Satchell, Hall & Jones 🧵

osf.io/preprints/ps...

OSF

osf.io

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James Steele @jamessteeleii.bsky.social · 17h

After this, if we end up finding precise effect estimates very much in line with theory I'm calling it there... further research would genuinely be a waste of time (brief commentary coming soon on this point of research waste too 😜).

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James Steele @jamessteeleii.bsky.social · 17h

We have our next Project Discover currently underway conducting another high-powered, pre-registered test of theoretically derived precise predictions regarding comparative effects of training volume:

osf.io/7vmxk/

OSF

osf.io

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James Steele @jamessteeleii.bsky.social · 17h

Final version of our high-powered, pre-registered test of theoretically derived precise predictions regarding comparative RT interventions (full vs lengthened partial range of motion) in trained particiapnts now published in Journal of Sport Sciences: doi.org/10.1080/0264...

The effects of lengthened-partial range of motion resistance training of the limbs on arm and thigh muscle area: A multi-site randomised trial

This project represents a highly powered pre-registered comparison of full ROM (fROM) and ‘lengthened partial’ ROM (lpROM) resistance training [RT]. A randomized controlled cluster trial across 15 ...

doi.org

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James Steele @jamessteeleii.bsky.social · 2d

@f2harrell.bsky.social just managed to squeeze in a paraphrase and credit to you for this in a commentary piece!

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James Steele @jamessteeleii.bsky.social · 3d

Oh I'm under no illusion that it won't be terrifying again when I venture out of the shallows of the kelp garden and into the unfathomable depths 😬

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James Steele @jamessteeleii.bsky.social · 3d

Alright, I'm hooked now... Still have this pit in my stomach the whole time playing, but as I start to figure stuff out I'm getting a bit more confident and just the process of keeping on top of surviving with food, water etc whilst searching shallows for materials keeps you occupied...

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James Steele @jamessteeleii.bsky.social · 3d

Man I started playing Subnautica last night for the first time and fuck me... that confirmed my thalassophobia. Scariest game I have ever played. No chance of me trying VR version 😅 Friend was cracking up on the stream. Confirmed for me I'm never scuba diving 😂

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James Steele @jamessteeleii.bsky.social · 5d

a man in a tuxedo stands in front of a microphone and says and the oscar goes to

ALT: a man in a tuxedo stands in front of a microphone and says and the oscar goes to

media.tenor.com

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James Steele @jamessteeleii.bsky.social · 6d

Certainly from a Meehlian perspective, and even considering it's essentially retrodictive, that would tend to provide further corroboration for the theory that trained folks just don't really grow much. Especially when combined with our estimates from the latest Project Discover.

🧵6/6

A forest plot-style graph titled “Degree of corroboration of theory derived predictions” with the subtitle "Grey band indicates the theory tolerance i.e., interval estimate derived from theory; Spielraum based upon 95% prediction interval from large scale meta-analysis (DOI: 10.1080/02640414.2023.2286748) of varied resistance training interventions". The x-axis is labeled “Standardised Mean Effect” ranging from approximately -0.25 to 1.75. This plot is similar to the previous one but shows all the hypertrophy and strength outcome estimates from https://sportrxiv.org/index.php/server/preprint/view/485 as facets showing their precision and closeness to the corresponding theory derived predictions and supporting their degree of corroboration for the theory.

James Steele @jamessteeleii.bsky.social · 6d

So I went back and pulled out the data from these studies to take a look, and lo and behold the estimates weren't that far off what we'd expect... the confidence interval still contains zero, but the estimate is fairly close with the power/precision boost from pooling the data.

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James Steele @jamessteeleii.bsky.social · 6d

Out of curiosity I wanted to see what the pooled estimates analysed across all our previous studies (n=323 across five studies) would be as a standardised mean effect and compare this with the retrodiction made from our theory.

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James Steele @jamessteeleii.bsky.social · 6d

But I wondered if might just be that our previous studies lacked power individually with this more noisy outcome to detect what are the very small effects we'd certainly now predict from our theory of linear-log adaptation over time wiht exposure to resistance training.

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James Steele @jamessteeleii.bsky.social · 6d

In those studies we collected bodpod data so instead had fat free mass of our participants. Granted, this is not a direct measure of changes in muscle and is an inherently more noisy outcome.

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James Steele @jamessteeleii.bsky.social · 6d

In previous studies that we have conducted as part of Project Discover with Discover Strength over the past decade many folks have complained about the lack of direct measures of hypertrophy.

#exercisescience #metascience

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James Steele @jamessteeleii.bsky.social · 7d

Very tempted to add to a paper that a particular series of studies were excluded from our meta-analysis because they are "an absolute shit show of presumably reporting errors, but maybe worse" and leave it at that 😂

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James Steele @jamessteeleii.bsky.social · 8d

Excited to have now started new role as Head of Research with Macrofactor (macrofactorapp.com). Looking forward to getting stuck into some really cool projects and getting that out to all the users!

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James Steele @jamessteeleii.bsky.social · 8d

"The majority of clinicals trials that are successfully launched end with equivocal results, with confidence intervals that are too wide to allow drawing a conclusion other than “the money was spent”."

Now that is a hook... gonna be paraphrasing that alot given how rife research waste is.

Frank Harrell @f2harrell.bsky.social · 8d

Flexible Goal-Drive Bayesian Design - video of presentation is now available at www.fharrell.com/talk/gdesign/ #Statistics #StatsSky #bayes #rct

Goal-Driven Flexible Bayesian Design – Statistical Thinking

The majority of clinicals trials that are successfully launched end with equivocal results, with confidence intervals that are too wide to allow drawing a conclusion other than “the money was spent”. ...

www.fharrell.com

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James Steele @jamessteeleii.bsky.social · 8d

Anyone have full text copy of this they can share please?
pubmed.ncbi.nlm.nih.gov/2228390/
#icanhazpdf

Resting metabolic rate and postprandial thermogenesis in polycystic ovarian syndrome - PubMed

To determine whether the high frequency of obesity in women with polycystic ovary syndrome (PCO) is related to a defect in energy expenditure, resting metabolic rate (RMR) and the thermic response to ...

pubmed.ncbi.nlm.nih.gov

Reposted by James Steele

Saloni @scientificdiscovery.dev · 9d

It's great some authors will share their work if you email them for a pdf.

But this isn't a good use of your time, or theirs.

I do think academics have more important things to do than a system where they reply one by one to every potential reader who wants to read beyond the abstract.

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James Steele @jamessteeleii.bsky.social · 10d

That's fair... In which case the SMD is conditional. But I rarely see it used in that manner tbh.

James Steele @jamessteeleii.bsky.social · 10d

This SMD "trick" (though I suspect most don't understand the bias so don't do it deliberately) and also the reporting of within group change scores, or percentage changes/differences which can also be incredibly misleading are common from sport science influencers.

12/12

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James Steele @jamessteeleii.bsky.social · 10d

Also, it's not uncommon for folks to hone in and overemphasise certain statistics. It's not just the researchers whio might focus too much on the more "impressive" seeming SMDs in such cases. We see this sort of thing in social media representations of results too.

11/12

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James Steele @jamessteeleii.bsky.social · 10d

This isn't the end of the world... remember our raw units estimate is still unbiased. But it can cause a problem for evidence synthesis via meta-analysis, particularly when we are pooling effects from across studies using different operationalisations and scales.

10/12

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James Steele @jamessteeleii.bsky.social · 10d

Because that selection process means our sample estimate of the pre-intervention SD (red distribution) is not reflective of the population SD. As such, our restricted SD means our standardised effect estimate is inflated.

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