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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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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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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Columbia Affiliation