Assessing risk of bias in the meta-analysis of round 1 of the Health Care Innovation Awards von Smith, Kevin W, Freeman, Nikki L B, Bir, Anupa

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Use of machine learning to identify characteristics associated with severe hypoglycemia in older adults with type 1 diabetes: a post-hoc analysis of a case–control study von Freeman, Nikki L B, Muthukkumar, Rashmi, Weinstock, Ruth S, Wickerhauser, M Victor, Kahkoska, Anna R

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A crack-opening-dependent numerical model for self-healing cementitious materials von Jefferson, A.D., Freeman, B.L.

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Mechanical response of a vascular self-healing cementitious material system under varying loading conditions von Selvarajoo, T., Davies, RE, Freeman, BL, Jefferson, AD

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Precision Medicine Enables More TNM-Like Staging in Patients With Chronic Limb Threatening Ischemia von McGinigle, Katharine L., Freeman, Nikki L. B., Marston, William A., Farber, Alik, Conte, Michael S., Kosorok, Michael R., Kalbaugh, Corey A.

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Early major complications after bariatric surgery in the USA, 2003–2014: a systematic review and meta‐analysis von Chang, S.‐H., Freeman, N. L. B., Lee, J. A., Stoll, C. R. T., Calhoun, A. J., Eagon, J. C., Colditz, G. A.

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Beyond Two Cultures: Cultural Infrastructure for Data-driven Decision Support von Freeman, Nikki L. B, Sperger, John, El-Zaatari, Helal, Kahkoska, Anna R, Lu, Minxin, Valancius, Michael, Virkud, Arti V, Zikry, Tarek M, Kosorok, Michael R

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Mapping mental health inequalities: The intersecting effects of gender, race, class, and ethnicity on ADHD diagnosis von Bergey, Meredith, Chiri, Giuseppina, Freeman, Nikki L. B., Mackie, Thomas I.

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Individualized treatment rule characterization via a value function surrogate von Freeman, Nikki L B, Browder, Sydney E, McGinigle, Katharine L, Kosorok, Michael R

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Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics‐driven geriatric research von Kahkoska, Anna R., Freeman, Nikki L. B., Jones, Emily P., Shirazi, Daniela, Browder, Sydney, Page, Annie, Sperger, John, Zikry, Tarek M., Yu, Fei, Busby‐Whitehead, Jan, Kosorok, Michael R., Batsis, John A.

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Central concepts for randomized controlled trials and other emerging trial designs von Heindel, Patrick, Dieffenbach, Bryan V., Freeman, Nikki L.B., McGinigle, Katharine L., Menard, Matthew T.

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Differential impact of missed initial wound clinic visit on 6‐month wound healing by race/ethnicity among patients with chronic limb‐threatening ischemia von Browder, Sydney E., Yohann, Avital, Filipowicz, Teresa R., Freeman, Nikki L. B., Marston, William A., Heisler, Stephen, Farber, Mark A., Patel, Shrunjay R., Wood, Jacob C., McGinigle, Katharine L.

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Balancing evidence-based care with patient-centered individualized care von Freeman, Nikki L.B., Browder, Sydney E., McGinigle, Katharine L.

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The Society for Vascular Surgery Objective Performance Goals for Critical Limb Ischemia are attainable in select patients with ischemic wounds managed with wound care alone von Crowner, Jason R., Marston, William A., Freeman, Nikki L.B., Sperger, John, Austin, Haley D., Steffan, Michael, Farber, Mark A., Chung, Jayer, McGinigle, Katharine L.

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The future of precision health is data‐driven decision support von Sperger, John, Freeman, Nikki L. B., Jiang, Xiaotong, Bang, David, Marchi, Daniel, Kosorok, Michael R.

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Systems-Aligned Precision Medicine-Building an Evidence Base for Individuals Within Complex Systems von Kahkoska, Anna R, Freeman, Nikki L B, Hassmiller Lich, Kristen

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Comment: Models as Approximations von Freeman, Nikki L. B., Jiang, Xiaotong, Leete, Owen E., Luckett, Daniel J., Pokaprakarn, Teeranan, Kosorok, Michael R.

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Analysis of a Machine Learning-Based Risk Stratification Scheme for Chronic Limb-Threatening Ischemia von Chung, Jayer, Freeman, Nikki L B, Kosorok, Michael R, Marston, William A, Conte, Michael S, McGinigle, Katharine L

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Using Electronic Medical Records to Identify Enhanced Recovery After Surgery Cases von Freeman, Nikki L B, McGinigle, Katharine L, Leese, Peter J

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Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study von Adu-Amankwah, Amanda, Bellad, Mrutunjaya B, Benson, Aimee M, Beyuo, Titus K, Bhandankar, Manisha, Charanthimath, Umesh, Chisembele, Maureen, Cole, Stephen R, Dhaded, Sangappa M, Enweronu-Laryea, Christabel, Freeman, Bethany L, Freeman, Nikki L B, Goudar, Shivaprasad S, Jiang, Xiaotong, Kasaro, Margaret P, Kosorok, Michael R, Luckett, Daniel, Mbewe, Felistas M, Misra, Sujata, Mutesu, Kunda, Nuamah, Mercy A, Oppong, Samuel A, Patterson, Jackie K, Peterson, Marc, Pokaprakarn, Teeranan, Price, Joan T, Pujar, Yeshita V, Rouse, Dwight J, Sebastião, Yuri V, Spelke, M Bridget, Sperger, John, Stringer, Jeffrey S A, Tuuli, Methodius G, Valancius, Michael, Vwalika, Bellington

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