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Harvard Data Science Review|November 27, 2023
Personalized Data Science and Personalized (N-of-1) Trials: Promising Paradigms for Individualized Health CareNaihua Duan, Daniel Norman, Christopher Schmid, et al.Harvard Data Science Review|November 27, 2023
Conduct and Implementation of Personalized Trials in Research and PracticeRichard L Kravitz, Naihua DuanThe Milbank Quarterly|December 15, 2004
Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averagesRichard L Kravitz, Naihua Duan, Joel BraslowJournal of Clinical Epidemiology|July 16, 2013
Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness researchNaihua Duan, Richard L Kravitz, Christopher H SchmidArchives of Internal Medicine|May 28, 2008
N-of-1 trials of expensive biological therapies: a third way?Richard L Kravitz, Naihua Duan, Richard H WhiteMedical Care|April 12, 2011
N-of-1 trials in the medical literature: a systematic reviewNicole B Gabler, Naihua Duan, Sunita Vohra, et al.Systematic Reviews|November 16, 2023
Does haste make waste? Prevalence and types of errors reported after publication of studies of COVID-19 therapeuticsBrittany Chatterton, Simon B Ascher, Naihua Duan, et al.Journal of General Internal Medicine|August 30, 2019
Effect of Mobile Device-Assisted N-of-1 Trial Participation on Analgesic Prescribing for Chronic Pain: Randomized Controlled TrialDavid D Odineal, Maria T Marois, Deborah Ward, et al.Health Services Research|November 26, 2009
Assessing Heterogeneity of Treatment Effects: Are Authors Misinterpreting Their Results?Erik Fernandez Y Garcia, Hien Nguyen, Naihua Duan, et al.Journal of General Internal Medicine|February 10, 2025
Association of Primary Care Access with Health-Related ChatGPT Use: A National Cross-Sectional SurveyOluwatobiloba Ayo-Ajibola, Catherine Julien, Matthew E Lin, et al.Pageof 39