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Determinants of Medical Practice Variation Among Primary Care Physicians: Protocol for a Three Phase Study

Our first objective is to identify the main component of variation, that is, which variation is larger, between physicians or within the physician over time (interphysician vs. intraphysician variation).

Sagi Shashar, Shlomi Codish, Moriah Ellen, Ehud Davidson, Victor Novack

JMIR Res Protoc 2020;9(10):e18673

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MyGeneFriends: A Social Network Linking Genes, Genetic Diseases, and Researchers

Variations and variation-disease relationships are extracted from the curated set provided by ClinVar [46] in the variant call format (VCF) file (limited to records with an rs# identifier).

Alexis Allot, Kirsley Chennen, Yannis Nevers, Laetitia Poidevin, Arnaud Kress, Raymond Ripp, Julie Dawn Thompson, Olivier Poch, Odile Lecompte

J Med Internet Res 2017;19(6):e212

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Impact of Seasonality on Recruitment, Retention, Adherence, and Outcomes in a Web-Based Smoking Cessation Intervention: Randomized Controlled Trial

Amanda L Graham, Sarah Cha, Nathan K Cobb, Ye Fang, Raymond S Niaura, Aaron Mushro

J Med Internet Res 2013;15(11):e249

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Effect of Seasonal Variation on Clinical Outcome in Patients with Chronic Conditions: Analysis of the Commonwealth Scientific and Industrial Research Organization (CSIRO) National Telehealth Trial

With this additional inclusion criterion, 61 patients from the test group and 75 patients from the control group were selected to estimate the seasonal variation trends in the three years of 2010 to 2012.

Ahmadreza Argha, Andrey Savkin, Siaw-Teng Liaw, Branko George Celler

JMIR Med Inform 2018;6(1):e16

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Uniform Noting for International Application of the Tumor-Stroma Ratio as an Easy Diagnostic Tool: Protocol for a Multicenter Prospective Cohort Study

Marloes Smit, Gabi van Pelt, Annet Roodvoets, Elma Meershoek-Klein Kranenbarg, Hein Putter, Rob Tollenaar, J Han van Krieken, Wilma Mesker

JMIR Res Protoc 2019;8(6):e13464

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Hospital-Based Back Surgery: Geospatial-Temporal, Explanatory, and Predictive Models

This variation affects costs [6] as well as outcomes [5] associated with back surgery. The implication of this variation is increased demand.

Lawrence Fulton, Clemens Scott Kruse

J Med Internet Res 2019;21(10):e14609

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Designing Robust N-of-1 Studies for Precision Medicine: Simulation Study and Design Recommendations

The model also incorporates noise parameters like baseline drift, short-term fluctuations (process noise), and measurement error to provide realistic sources of variation that can obscure treatment effects in real-patient settings.

Bethany Percha, Edward B Baskerville, Matthew Johnson, Joel T Dudley, Noah Zimmerman

J Med Internet Res 2019;21(4):e12641

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