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Ian Shrier on Muck Rack

Ian Shrier

As seen in: Wiley Online Library, BMJ Open Sport & Exercise Medicine, British Journal of Sports Medicine, JAMA: Journal of the American Medical Association, Science Magazine, European Respiratory Journal, Journal of the American Board of Family Medicine, Journal of Science and Medicine in Sport, Journal of Clinical Epidemiology
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Articles

Drowning in Evidence: The Meta-Analysis Boom and the Rigor It Demands

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By Franco M. Impellizzeri, Ian Shrier, L. E. Jenkins
| Wiley Online Library Verified
Conflicts of Interest The authors have no potential financial conflicts of interest with the content of this article. Franco M. Impellizzeri is employed by a university and a primary academic responsibility is to obtain grants and publish papers. Franco M. Impellizzeri is the Editor-in-Chief of Science and Medicine in Football and is currently involved in large meta-research, including research synthesis. Ian Shrier is retired but continues to hold grants and conduct research.
Open in Who Shared Issue with article?

In Defense of Generalists: Primary Care Observations Have Systematic Advantages

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By Steven D. Stovitz, Ian Shrier, Jay S. Kaufman
| Journal of the American Board of Family Medicine
Thank you for your interest in spreading the word on American Board of Family Medicine. NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas.
Open in Who Shared View Duplicates (6) Issue with article?

Exposure misclassification: an “immortal time” bias in observational studies of training load and injury

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By Jay S. Kaufman, Ian Shrier, Chinchin Wang
| Journal of Clinical Epidemiology Verified
Several observational studies of the relationship between training load and injury have found increased risks of injury at low loads. These associations are expected because load is often assessed at the end of the injury follow-up period. As such, athletes who get injured earlier in the follow-up period will have systematically lower loads than athletes who get injured later in the follow-up period.
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