Bryan S Blette (Bryan Blette)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Venues

Statistical methods in medical research

Scientific reports

PloS one

University of North Carolina at Chapel Hill

University of North Carolina at Chapel Hill (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of North Carolina at Chapel Hill Aug 17 2015

United States

Ph.D. Student, Research Assistant :: Biostatistics

Google Inc Jun 11 2018 - Sep 14 2018

United States

Research Intern

National Space Biomedical Research Institute May 24 2015 - Aug 07 2015

United States

Research Apprentice

University of Florida Jan 06 2015 - May 01 2015

United States

Teaching Assistant :: Statistics

Education History

University of North Carolina at Chapel Hill Aug 17 2015

United States

PHD :: Biostatistics

University of North Carolina at Chapel Hill Aug 17 2015 - May 13 2018

United States

MSC :: Biostatistics

University of Florida Aug 14 2012 - May 01 2015

United States

BSC :: Mathematics and Statistics

Publications

Brennan C Kahan, Bryan S Blette, Michael O Harhay, Scott D Halpern, Vipul Jairath, Andrew Copas, Fan Li
Demystifying estimands in cluster-randomised trials. Statistical methods in medical research (2024)
Brennan C Kahan, Bryan S Blette, Michael O Harhay, Scott D Halpern, Vipul Jairath, Andrew Copas, Fan Li
Demystifying estimands in cluster-randomised trials. Statistical methods in medical research 33 (7) (2024)
Bryan S Blette, Scott D Halpern, Fan Li, Michael O Harhay
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical methods in medical research 33 (5) (2024)
Brennan C Kahan, Bryan S Blette, Michael O Harhay, Scott D Halpern, Vipul Jairath, Andrew Copas, Fan Li
Demystifying estimands in cluster-randomised trials. Statistical methods in medical research 33 (7) (2024)
Brennan C Kahan, Bryan S Blette, Michael O Harhay, Scott D Halpern, Vipul Jairath, Andrew Copas, Fan Li
Demystifying estimands in cluster-randomised trials. Statistical methods in medical research 33 (7) (2024)
Bryan S Blette, Scott D Halpern, Fan Li, Michael O Harhay
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical methods in medical research 33 (5) (2024)
Bryan S Blette, Scott D Halpern, Fan Li, Michael O Harhay
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical methods in medical research (2024)
Bryan S Blette, Scott D Halpern, Fan Li, Michael O Harhay
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical methods in medical research 33 (5) (2024)
Brennan C Kahan, Bryan S Blette, Michael O Harhay, Scott D Halpern, Vipul Jairath, Andrew Copas, Fan Li
Demystifying estimands in cluster-randomised trials. Statistical methods in medical research 33 (7) (2024)
Bryan S Blette, Scott D Halpern, Fan Li, Michael O Harhay
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials. Statistical methods in medical research 33 (5) (2024)
Bryan S Blette, Anders Granholm, Fan Li, Manu Shankar-Hari, Theis Lange, Marie Warrer Munch, Morten Hylander Møller, Anders Perner, Michael O Harhay
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific reports 13 (1) (2023)
Bryan S Blette, Anders Granholm, Fan Li, Manu Shankar-Hari, Theis Lange, Marie Warrer Munch, Morten Hylander Møller, Anders Perner, Michael O Harhay
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific reports 13 (1) (2023)
Bryan S Blette, Anders Granholm, Fan Li, Manu Shankar-Hari, Theis Lange, Marie Warrer Munch, Morten Hylander Møller, Anders Perner, Michael O Harhay
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific reports 13 (1) (2023)
Bryan S Blette, Anders Granholm, Fan Li, Manu Shankar-Hari, Theis Lange, Marie Warrer Munch, Morten Hylander Møller, Anders Perner, Michael O Harhay
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific reports 13 (1) (2023)
Bryan S Blette, Anders Granholm, Fan Li, Manu Shankar-Hari, Theis Lange, Marie Warrer Munch, Morten Hylander Møller, Anders Perner, Michael O Harhay
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific reports 13 (1) (2023)
Bryan S Blette, Anders Granholm, Fan Li, Manu Shankar-Hari, Theis Lange, Marie Warrer Munch, Morten Hylander Møller, Anders Perner, Michael O Harhay
Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific reports 13 (1) (2023)
Matthew H Collins, Omar Zepeda, Bryan S Blette, Ramesh Jadi, Marlen Morales, Rigoberto Pérez, Guei-Jiun Alice Liou, Magelda Montoya-Cruz, Eva Harris, Sylvia Becker-Dreps, Aravinda M de Silva, Jeffrey Stringer, Filemon Bucardo, Elizabeth Stringer
Serologic surveillance of maternal Zika infection in a prospective cohort in Leon, Nicaragua during the peak of the Zika epidemic. PloS one 15 (4) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bryan S Blette (Bryan Blette)