Ian Shrier

77 posts

Ian Shrier

Ian Shrier

@IanShrier

Sport medicine physician with research interests in synthesizing information, decision making and injury treatment/prevention. Activity is an exercise in fun!

Montreal, Canada Katılım Ocak 2015
8 Takip Edilen553 Takipçiler
Ian Shrier
Ian Shrier@IanShrier·
@GGCanto @PWGTennant DAGs deal with “loops, anticipations and retaliations” by defining a variable as its construct AND time when measured (eg: A_0, A_1). This works as long as the future cannot cause the past. Still some challenges with true dynamic models but working on solutions with Naftali.
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Giulio Giacomo Cantone
Giulio Giacomo Cantone@GGCanto·
@PWGTennant Ignore the apparent insult, it raises two very good points: 1 DAGs, currently, has absolutely no way to deal with most of causal structures when sociality is involved, since sociolity has loops, anticipations, retaliations, etc. 2 "Epidemiology" has 2 totally different meanings.
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Peter Tennant has moved to Bluesky
Peter Tennant has moved to Bluesky@PWGTennant·
"My understanding is that DAGs are limited to... “stable” research questions where complexity... (is) not accounted for (DAGs seems to come from epidemiology and epidemiologists are not known to think dynamically)" - peer review from an interdisciplinary article 🤔 #EpiTwitter
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Ian Shrier
Ian Shrier@IanShrier·
@Hewett1Tim Tim: sent you emails but maybe wrong address. Would love to propose debate at IOC 2024 on "prevent" vs "risk reduction". Got game?
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Tim Hewett
Tim Hewett@Hewett1Tim·
Good Scientists don’t possess beliefs… we’re in agreement that we can reduce risk rather than “prevent” ACL injuries. The current data unequivocally demonstrate that we can reduce risk of ACLs between 50% & 67%. By what % do u believe that u can reduce hamstrings injury risk ???
Ryan Timmins@ryan_timmins

@Hewett1Tim 4 years on - still believe we can’t prevent ACL injuries. We can reduce risk but unequivocally saying we can prevent is maybe semantics and something we may never achieve.

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Ian Shrier
Ian Shrier@IanShrier·
For those interested in the history of causal inference in four very different disciplines, and three commentaries about how these individuals changed the way we approach analyzing data.
Observational Studies@ObservStudies

Observational Studies is excited to announce our new special issue "Rebels with a Cause: Monologues from Heckman, Pearl, Robins, and Rubin": muse.jhu.edu/issue/48885 These fascinating monologues are followed by insightful perspectives by Didelez, Mealli, and Tchetgen Tchetgen

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Ian Shrier retweetledi
Observational Studies
Observational Studies@ObservStudies·
Observational Studies is excited to announce our new special issue "Rebels with a Cause: Monologues from Heckman, Pearl, Robins, and Rubin": muse.jhu.edu/issue/48885 These fascinating monologues are followed by insightful perspectives by Didelez, Mealli, and Tchetgen Tchetgen
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Ian Shrier
Ian Shrier@IanShrier·
@KThorborg @francoimpell @BJSM_BMJ @bmj_company I uploaded a short reply ~7d pointing to my preprint. Not yet posted. Note BMJ (same publishing company) publishes selection from rapid responses as letters to editor with Medline indexing. Editor decision that BJSM does not (confirmed by editor). Promote self-correcting science.
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Ian Shrier
Ian Shrier@IanShrier·
@RicupitoRoberto My article is only on sportRxiv. The original article with the errors is doi: 10.1136/bjsports-2022-105573
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Ian Shrier
Ian Shrier@IanShrier·
New BJSM article suggesting Load was not part of StARRT framework for RTP decision making had important misconceptions.BJSM editorial policy does not allow Letters to Editor See SportRxiv (doi.org/10.51224/SRXIV…) for my response and suggested corrections.
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Ian Shrier
Ian Shrier@IanShrier·
Recent arXiv pre-print describing how we should think about analyzing recurrent events (such as injuries), with or without competing events. This is ground-breaking methods research. Not for the faint of heart. Please share with your statisticians. arxiv.org/abs/2202.08500
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Ian Shrier
Ian Shrier@IanShrier·
Very good article explaining how to create a causal directed acyclic graph using a real-world example. Barnard-Mayers et al. 2022 jclinepi.com/article/S0895-…
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Ian Shrier
Ian Shrier@IanShrier·
If you like to learn from podcasts, the Society for Epidemiological Research has 2 platforms: Epidemiology Counts caters to a general audience. SERious EPI caters to practicing epidemiologists.” epiresearch.org/serlibrary/ser…
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Ian Shrier
Ian Shrier@IanShrier·
@hubermanlab @DrAndyGalpin Not much new. Training in untrained people first causes increased strength due to neurological learning - antagonist muscles stop fighting the desired movement. This study showed no changes in hypertrophy. Authors discuss this in section 4.3.
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Andrew D. Huberman, Ph.D.
Andrew D. Huberman, Ph.D.@hubermanlab·
3 sec high intensity weight workouts produce meaningful results?(!) Check out linked article below. Note: I don’t favor this approach. 45-60min, 3-4X weekly has been my staple for 30 years (Z2 cardio on off days). Thoughts on this study @DrAndyGalpin ? doi.org/10.1111/sms.14…
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Ian Shrier
Ian Shrier@IanShrier·
“causal diagrams” also important for prediction!! arxiv.org/pdf/2011.02677…. “applied statistics as the coordinated merging of the three essentials of logic, causation, and probability to provide a transparent foundation for sound study design, analysis, and interpretation.”
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Ian Shrier
Ian Shrier@IanShrier·
Key point: One enters theory-based causal effects between all variables and all interactions. It does not estimate these. Papers need 100% transparency on all hypothesized causal relationships used. Parametric g-formula uses both data and simulations. 2/2
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Ian Shrier retweetledi
Gordon H. Guyatt
Gordon H. Guyatt@GuyattGH·
#Editors are seriously misguided when they insist on non-causal language for #observational studies when the intent is clearly causal (possible intervention): often the case in nutrition, public health, and clinical areas. bit.ly/3q8TxpS
Gordon H. Guyatt tweet media
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Ian Shrier
Ian Shrier@IanShrier·
Causal inference article on youth collision sports not affecting cognition later in life. doi.org/10.1093/aje/kw…. We previously showed properly treated first concussion doesn’t causally increase risk of subsequent concussion. https://doi:10.1136/bjsports-2018-099104.
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Ian Shrier
Ian Shrier@IanShrier·
@torsteindalen Sorry for just seeing this. Welcome to the limitations of peer review. No flaw if all you want to say is that implementing a software solution didn’t work. Fatal flaw if you want to know if load management strategies work. You simply didn’t collect or analyze the necessary data.
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Torstein Dalen-Lorentsen
Torstein Dalen-Lorentsen@torsteindalen·
@IanShrier Finally. Neither the authors, our extended research group nor any of the three reviewers considered this to be a major flaw. It's Christmas eve, time to spend some time with the family, and not on twitter. I am done with this discussion. Merry Christmas!
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Ian Shrier
Ian Shrier@IanShrier·
bjsm.bmj.com/content/55/2/1… says load management in elite football doesn't prevent injuries. They never recorded load in control group so don't know what "load management" was compared to. Essential to describe interventions in both treatment groups in order to interpret studies.
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Ian Shrier
Ian Shrier@IanShrier·
New Society for Causal Inference. sci-info.org/about-us/. Great cast of leaders in the field. Would be great if sports medicine professionals with interest in causality research get involved. Will up everyone’s game.
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Keşfet

@GGCanto @PWGTennant @Hewett1Tim @KThorborg @francoimpell @BJSM_BMJ @bmj_company @RicupitoRoberto