Harvard Data Science Review
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Cheung, K., & Mitsumoto, H. (2022). Evaluating Personalized (N-of-1) Trials in Rare Diseases: How Much Experimentation Is Enough? Harvard Data Science Review. https://doi.org/10.1162/99608f92.e11adff0
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Columbia Affiliation
Duan, N., Norman, D., Schmid, C., Sim, I., & Kravitz, R. L. (2022). Personalized Data Science and Personalized (N-of-1) Trials: Promising Paradigms for Individualized Health Care. Harvard Data Science Review. https://doi.org/10.1162/99608f92.8439a336
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Columbia Affiliation
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Butler, M., D’Angelo, S., Kaplan, M., Tashnim, Z., Miller, D., Ahn, H., Falzon, L., Dominello, A. J., Foroughi, C., Chandereng, T., Cheung, K., & Davidson, K. (2022). A Series of Virtual Interventions for Chronic Lower Back Pain: A Feasibility Pilot Study for a Series of Personalized (N-of-1) Trials. Harvard Data Science Review. https://doi.org/10.1162/99608f92.72cd8432
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Chandereng, T. (2022). An R Shiny App for a Chronic Lower Back Pain Study, Personalized N-of-1 Trial. Harvard Data Science Review. https://doi.org/10.1162/99608f92.6c21dab7
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Columbia Affiliation
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Kravitz, R. L., & Duan, N. (2022). Conduct and Implementation of Personalized Trials in Research and Practice. Harvard Data Science Review. https://doi.org/10.1162/99608f92.901255e7
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Davidson, K., Cheung, K., Friel, C., & Suls, J. (2022). Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker ‘N-of-1’ Trial. Harvard Data Science Review. https://doi.org/10.1162/99608f92.116c43fe
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Columbia Affiliation
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