Ian Shrier

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

[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.

[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?

[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": https://t.co/W1uipH5VKr
These fascinating monologues are followed by insightful perspectives by Didelez, Mealli, and Tchetgen Tchetgen

[Observational Studies @ObservStudies]

Observational Studies is excited to announce our new special issue "Rebels with a Cause: Monologues from Heckman, Pearl, Robins, and Rubin": https://t.co/W1uipH5VKr
These fascinating monologues are followed by insightful perspectives by Didelez, Mealli, and Tchetgen Tchetgen

[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.

[Ian Shrier @IanShrier]

@RicupitoRoberto My article is only on sportRxiv. The original article with the errors is doi: 10.1136/bjsports-2022-105573

[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 (https://t.co/gpAfCtejh0) for my response and suggested corrections.

[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. https://t.co/OO471lbG9W

[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 https://t.co/IW2yBLol4j

[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.” https://t.co/YZeBYKUiz0

[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.

[Ian Shrier @IanShrier]

“causal diagrams” also important for prediction!! https://t.co/yTvsObLZ2T. “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.”

[Ian Shrier @IanShrier]

Corrected link for previous tweet on journal politics.

https://t.co/TOyNeSLhbg

[Ian Shrier @IanShrier]

An interesting bizarre story about journal and author politics on tactics to get published. https://t.co/2lJJZK9dIR

[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

[Ian Shrier @IanShrier]

Two older articles to help understand what agent-based modelling is and isn’t. https://t.co/WOSMR1EZmW and https://t.co/qlUbRvJWBu. 1/2

[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.
https://t.co/g0AJgKWOSk

[Ian Shrier @IanShrier]

Causal inference article on youth collision sports not affecting cognition later in life. https://t.co/1hsTVWqeVB. We previously showed properly treated first concussion doesn’t causally increase risk of subsequent concussion. https://doi:10.1136/bjsports-2018-099104.

[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.

[Ian Shrier @IanShrier]

https://t.co/gF9yewGgRR 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.

[Ian Shrier @IanShrier]

New Society for Causal Inference. https://t.co/IRean48Db0. 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.