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Greg Atkinson

@gregatki.bsky.social

Honorary Visiting Professor at LJMU. Exercise & Nutrition Science, Circadian Rhythms and Jet lag, Research Methods & Statistics, Bike Racing, BBC6-played singer-songwriter. https://scholar.google.co.uk/citations?user=8Gog69EAAAAJ&hl=en

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Frank Harrell@f2harrell.bsky.social · last mo.

New blog article proposing a general statement of the fundamental question a standard RCT should answer and providing robust and powerful statistical methods to answer it: www.fharrell.com/post/rctmod/ #Statistics #StatsSky #EpiSky #clinicaltrial #rct #pharma @stephensenn.bsky.social

Statistical Models Answer the Fundamental Clinical Question and Provide Clinical Trial Estimands – Statistical Thinking

Specific goals and estimation targets for randomized clinical trials have still not been well defined for general outcome variables. Proponents of causal inference calculus have claimed to define goal...

fharrell.com

Frank Harrell@f2harrell.bsky.social · 2mo ago

Another example where smart clinical trialists and clinical trial statisticians are completely missing the boat: dichotomization of outcome measures and so-called "responder analysis".

Prof Christina Pagel@chrischirp.bsky.social · 2mo ago

I find this is a really odd story - why should world class biomedical research improve life expectancy in UK? What is keep life expectancy flat are a range of structural issues - not access to the latest medical treatments. 1/4 news.sky.com/story/world-...

World-class UK medical research not delivering enough benefits for British people

The country's life sciences industry generated £146.9bn in turnover in 2023/24, but UK life expectancy has fallen, a new study has found.

news.sky.com

John Quackenbush@johnquackenbush.bsky.social · 2mo ago

Can common analytical methods generate spurious molecular #waves_of_aging? We show LOESS and DE-SWAN produce wave-like patterns from random noise, casting doubt on reported “waves." With MaddyCarbonneau, Kate Shutta, Jeff Miller, Michael Snyder, and Xiaotao Shen. www.biorxiv.org/content/10.6...

LOESS and DE-SWAN can induce artifactual "waves" of molecular aging

A growing literature has investigated the relationship between age and biomolecular changes, leading to conclusions that aging occurs in discrete molecular "waves." Data summary tools such as LOESS an...

biorxiv.org

University of York Library@uoylibrary.bsky.social · 3mo ago

Noted, thanks Mel. We should probably hold off on making any firm decisions about REF2029 until we've heard from the bloke who made Angry Birds.

Research Professional News@resprofnews.bsky.social · 3mo ago

Peer-reviewed papers are ‘old hat science’, says millionaire investor. Candy Crush businessman Mel Morris says universities “must embrace AI” to transform into economic powerhouses. www.researchprofessionalnews.com/rr-news-uk-i...

Dan Quintana@dsquintana.bsky.social · 4mo ago

Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...

Abstract Effect sizes are useful for understanding the magnitude of study results and for planning new studies via power analysis. However, despite their wide usage, effect sizes are often misinterpreted. This is mostly due to an over-reliance on general effect size benchmarks that were not intended for broad application across diverse research fields. Inaccurate effect size interpretations can lead to incorrect conclusions about the magnitude of study results and incorrect sample size estimates, thereby increasing the likelihood of false-positive results. This article introduces the ESDist R package, which is designed to calculate empirically derived effect-size benchmarks or a range of reliably detectable empirical effect sizes for a specific research question or field of interest by computing effect size distributions (ESDs). This package can be used on data that can be easily extracted from pre-existing meta-analyses to help researchers more accurately plan new studies or to better understand how an individual study might relate to other studies in their field. ESDist includes a set of features that make it easy to use in a priori power analysis. Moreover, the package includes a feature for estimating effect size benchmarks that account for publication bias and are weighted by effect sizes' variances, which addresses existing limitations of using ESDs for study planning or interpretation.
Matthew Nagra, ND@drmatthewnagra.bsky.social · 4mo ago

🚨NEW PUBLICATION!🚨 We reviewed virtually every major claim behind the seed oil hysteria, and the evidence doesn’t support the fear. The controversy is largely social media-driven, built on ecological correlations, mechanistic speculation, and flawed trials...

Concerns about the health effects of industrially produced seed oils are without scientific foundation: a scoping narrative review of the clinical and observational evidence

To reduce cardiovascular disease (CVD) risk, worldwide dietary guidelines emphasize limiting saturated fatty acid (SFA) intake, and replacing SFAs with unsaturated fatty acids, especially polyunsat...

tandfonline.com

Nikos Margaritelis@margaritelis.bsky.social · 4mo ago

Happy to share our publication in FRBM. We used aggregated sets of n-of-1 trials to study individual oxidative stress & inflammation responses to vit C supplementation. Huge thanks to @lorenzololli.bsky.social @gregatki.bsky.social @mg-nikolaidis.bsky.social www.sciencedirect.com/science/arti...

Individual oxidative stress and inflammation responses to vitamin C supplementation: Aggregated sets of n-of-1 trials

Personalized antioxidant supplementation is promoted to optimize redox balance and inflammation profile.To quantify the short-term effects of vitamin …

sciencedirect.com

Kevin C Klatt, PhD, RD@kcklatt.bsky.social · 6mo ago

The amount of 'precision' nutrition stuff that is just tossing multi-omics at trial with no real validation, and no real consideration of basic things like inter- vs intra- individual variation is really sad. Just flushing money down the toilet and then putting lipstick on the publication pig

Darren Dahly@statsepi.bsky.social · last yr.

A letter from myself and @jdwilko.bsky.social that expands on this a bit more. Thanks to Fertility and Sterility for the opportunity. doi.org/10.1016/j.fe...

Nonrandomized studies of interventions - complementary or just convenient? Schwarze et al. (1) present recommendations to improve the quality of nonrandomized studies of interventions (NRSIs). Given the methodological errors we regularly encounter when reading and reviewing NRSIs in assisted reproductive technologies (ART), we support the need for such recommendations to help researchers better design, analyze, and interpret these studies. That said, we are concerned that those who require such guidance will, almost by definition, not understand when the use of NRSIs is warranted, or mistake them as viable alternatives to randomized controlled trials (RCTs), despite reassurances from Schwarze et al. (1) that NRSIs should be viewed as complementary. Our concerns are particularly relevant for ART, where regulation is limited, commercial conflicts of interest are common, and interventions are regularly adopted before they are evaluated using RCTs. To be clear, we do not see these as points of disagreement with Schwarze et al. (1), but rather as additional points for consideration.
Darren Dahly@statsepi.bsky.social · last yr.

So many papers now lead off with this kind of brain-dead statement. As someone who has worked directly with both observational studies and RCTs, I'm telling you this is all a huge "IT DEPENDS" and saying these naive things over and over doesn't help anybody.

Observational studies have several advantages over randomized, controlled trials, including lower cost, greater timeliness, and a broader range of patients.1 Concern about inherent bias in these studies, however, has limited their use in comparing treatments.2,3 Observational studies are used primarily to identify risk factors and prognostic indicators and in situations in which randomized, controlled trials would be impossible or unethical.4
Dermot Casey@dermotcasey.bsky.social · 6mo ago

When you get annoyed and write 3000+ words in response to @utafrith.bsky.social piece in the Times Educational Supplement on Autism dermotcasey.net/the-challeng... Partially as I see people I respect like @wiringthebrain.bsky.social @hetanshah.bsky.social sharing something deeply problematic

The Challenges of Autism Diagnosis: A Response to Uta Frith

An response to “Uta Frith: Why I No Longer Think Autism Is a Spectrum” (TES Magazine, 4 March 2026) Summary of the Article Dame Uta Frith, emeritus professor of cognitive development at…

dermotcasey.net

Hamish Ferguson PhD@coachfergnz.bsky.social · 6mo ago

Case studies on time-trial pacing strategies in cycling: Incorporating the peak power–time curve and acceleration journals.sagepub.com/doi/abs/10.1...

Case studies on time-trial pacing strategies in cycling: Incorporating the peak power–time curve and acceleration - Yoshiaki Fujii, Badrul AKM Alam, 2026

This study examines optimal pacing strategies for cycling time trials by considering both the peak power–time curve and acceleration. We developed a computation...

journals.sagepub.com