SUBJECTS : Data Science | Artificial Intelligence | Data Analytics | Predictive Modeling | Cybersecurity | Algorithm
LATEST MANUSCRIPTS IN Harvard Data Science Review
- Leonard H Epstein, Jesse Dallery. The Family of Single-Case Experimental Designs. Harvard data science review. 2022, 4 (SI3):
Cited : 6Read More - Mark Butler, Stefani D'Angelo, Melissa Kaplan, Zarrin Tashnim, Danielle Miller, Heejoon Ahn, Louise Falzon, Andrew J Dominello, Cirrus Foroughi, Thevaa Chandereng, Ken Cheung, Karina Davidson. 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. 2022, 4 (SI3): Cited : 8Read More
- Richard L Kravitz, Naihua Duan. Conduct and Implementation of Personalized Trials in Research and Practice. Harvard data science review. 2022, 4 (SI3): Cited : 2Read More
- Mariola Moeyaert, Joelle Fingerhut. Quantitative Synthesis of Personalized Trials Studies: Meta-Analysis of Aggregated Data Versus Individual Patient Data. Harvard data science review. 2022, 4 (SI3): Cited : 1Read More
- Antony Porcino, Sunita Vohra. N-of-1 Trials, Their Reporting Guidelines, and the Advancement of Open Science Principles. Harvard data science review. 2022, 4 (SI3): Cited : 1Read More
- Stefani D'Angelo, Heejoon Ahn, Danielle Miller, Rachel Monane, Mark Butler. Personalized Feedback for Personalized Trials: Construction of Summary Reports for Participants in a Series of Personalized Trials for Chronic Lower Back Pain. Harvard data science review. 2022, 4 (SI3): Cited : 7Read More
- Naihua Duan, Daniel Norman, Christopher Schmid, Ida Sim, Richard L Kravitz. Personalized Data Science and Personalized (N-of-1) Trials: Promising Paradigms for Individualized Health Care. Harvard data science review. 2022, 4 (SI3): Cited : 1Read More
- Karina W Davidson, Ying Kuen Cheung, Ciarán P Friel, Jerry Suls. Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker 'N-of-1' Trial. Harvard data science review. 2022, 4 (SI3): Cited : 4Read More
- Jerry M Suls, Catherine Alfano, Christina Yap. Personalized (N-of-1) Trials for Patient-Centered Treatments of Multimorbidity. Harvard data science review. 2022, 4 (SI3): Cited : 1Read More
- Abel Torres-Espín, Adam R Ferguson. Harmonization-Information Trade-Offs for Sharing Individual Participant Data in Biomedicine. Harvard data science review. 2022, 4 (3): Cited : 3Read More
- William Dempsey, Ian Foster, Scott Fraser, Carl Kesselman. Sharing Begins at Home: How Continuous and Ubiquitous FAIRness Can Enhance Research Productivity and Data Reuse. Harvard data science review. 2022, 4 (3): Cited : 7Read More
- Wan-Ying Chang, Maryah Garner, Jodi Basner, Bruce Weinberg, Jason Owen-Smith. A Linked Data Mosaic for Policy-Relevant Research on Science and Innovation: Value, Transparency, Rigor, and Community. Harvard data science review. 2022, 4 (2): Cited : 1Read More
- Neal D Goldstein, Deborah Kahal, Karla Testa, Ed J Gracely, Igor Burstyn. Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic Codes. Harvard data science review. 2022, 4 (2): Cited : 4Read More
- Xiaotong Shen, Xuan Bi, Rex Shen. Data Flush. Harvard data science review. 2022, 4 (2): Cited : 0Read More
- Thevaa Chandereng. An R Shiny App for a Chronic Lower Back Pain Study, Personalized N-of-1 Trial. Harvard data science review. 2022, 2022 (SI3): Cited : 1Read More
