Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Harvard data science review

Showing results (1-10 of 32) with videos related to

Pageof 4
Sort By:
Harvard Data Science Review|November 27, 2023
Personalized (N-of-1) Trials for Patient-Centered Treatments of MultimorbidityJerry M Suls, Catherine Alfano, Christina Yap
Harvard Data Science Review|April 20, 2026
Data Science in Public Health: Building Next Generation CapacityNicholas Mirin, Heather Mattie, Latifa Jackson, et al.
Harvard Data Science Review|April 10, 2023
Accommodating Serial Correlation and Sequential Design Elements in Personalized Studies and Aggregated Personalized StudiesNicholas J Schork
Harvard Data Science Review|January 10, 2022
On the Convergence of Epidemiology, Biostatistics, and Data ScienceNeal D Goldstein, Michael T LeVasseur, Leslie A McClure
Harvard Data Science Review|December 28, 2020
How Confident Are We about Observational Findings in Healthcare: A Benchmark StudyMartijn J Schuemie, M Soledad Cepeda, Marc A Suchard, et al.
Harvard Data Science Review|April 24, 2023
An R Shiny App for a Chronic Lower Back Pain Study, Personalized N-of-1 TrialThevaa Chandereng
Harvard Data Science Review|November 3, 2022
Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic CodesNeal D Goldstein, Deborah Kahal, Karla Testa, et al.
Harvard Data Science Review|December 5, 2025
Expanding the Data Science Toolkit: Mixed Methods for Improving Causal InferenceNoor Qaragholi, Elizabeth A Stuart
Harvard Data Science Review|November 27, 2023
Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker 'N-of-1' TrialKarina W Davidson, Ying Kuen Cheung, Ciarán P Friel, et al.
Harvard Data Science Review|July 8, 2024
Assessing the prognostic utility of clinical and radiomic features for COVID-19 patients admitted to ICU: challenges and lessons learnedYuming Sun, Stephen Salerno, Ziyang Pan, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Harvard Data Science Review|November 27, 2023
Personalized (N-of-1) Trials for Patient-Centered Treatments of MultimorbidityJerry M Suls, Catherine Alfano, Christina Yap
Harvard Data Science Review|April 20, 2026
Data Science in Public Health: Building Next Generation CapacityNicholas Mirin, Heather Mattie, Latifa Jackson, et al.
Harvard Data Science Review|April 10, 2023
Accommodating Serial Correlation and Sequential Design Elements in Personalized Studies and Aggregated Personalized StudiesNicholas J Schork
Harvard Data Science Review|January 10, 2022
On the Convergence of Epidemiology, Biostatistics, and Data ScienceNeal D Goldstein, Michael T LeVasseur, Leslie A McClure
Harvard Data Science Review|December 28, 2020
How Confident Are We about Observational Findings in Healthcare: A Benchmark StudyMartijn J Schuemie, M Soledad Cepeda, Marc A Suchard, et al.
Harvard Data Science Review|April 24, 2023
An R Shiny App for a Chronic Lower Back Pain Study, Personalized N-of-1 TrialThevaa Chandereng
Harvard Data Science Review|November 3, 2022
Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic CodesNeal D Goldstein, Deborah Kahal, Karla Testa, et al.
Harvard Data Science Review|December 5, 2025
Expanding the Data Science Toolkit: Mixed Methods for Improving Causal InferenceNoor Qaragholi, Elizabeth A Stuart
Harvard Data Science Review|November 27, 2023
Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker 'N-of-1' TrialKarina W Davidson, Ying Kuen Cheung, Ciarán P Friel, et al.
Harvard Data Science Review|July 8, 2024
Assessing the prognostic utility of clinical and radiomic features for COVID-19 patients admitted to ICU: challenges and lessons learnedYuming Sun, Stephen Salerno, Ziyang Pan, et al.
Pageof 4