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David Benkeser

Showing results (11-20 of 98) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|January 20, 2025
Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibioticsAllison Codi, Sara Kim, Elizabeth Rogawski McQuade, et al.
The International Journal of Biostatistics|July 19, 2022
Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lassoMark J van der Laan, David Benkeser, Weixin Cai
Biometrics|June 8, 2026
Nonparametric motion control in functional connectivity studies in children with autism spectrum disorderJialu Ran, Sarah Shultz, Benjamin B Risk, et al.
Biometrics|July 28, 2019
Robust inference on the average treatment effect using the outcome highly adaptive lassoCheng Ju, David Benkeser, Mark J van der Laan
Statistics in Medicine|April 2, 2026
Comparing HIV Vaccine Immunogenicity Across Trials With Different Populations and Study DesignsYutong Jin, Alex Luedtke, Zoe Moodie, et al.
Statistics in Medicine|May 6, 2017
Online cross-validation-based ensemble learningDavid Benkeser, Cheng Ju, Sam Lendle, et al.
Health Services & Outcomes Research Methodology|November 28, 2022
A two-stage super learner for healthcare expendituresZiyue Wu, Seth A Berkowitz, Patrick J Heagerty, et al.
Epidemiology (Cambridge, Mass.)|March 30, 2026
Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational dataEmily Wu, Elizabeth Rogawski McQuade, Mats Stensrud, et al.
Statistics in Biosciences|March 26, 2021
Design and analysis considerations for a sequentially randomized HIV prevention trialDavid Benkeser, Keith Horvath, Cathy J Reback, et al.
Biometrics|September 26, 2020
Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomesDavid Benkeser, Iván Díaz, Alex Luedtke, et al.
Pageof 10

Showing results (11-20 of 98) with videos related to

Sort By:
Pageof 10
Medrxiv : the Preprint Server for Health Sciences|January 20, 2025
Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibioticsAllison Codi, Sara Kim, Elizabeth Rogawski McQuade, et al.
The International Journal of Biostatistics|July 19, 2022
Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lassoMark J van der Laan, David Benkeser, Weixin Cai
Biometrics|June 8, 2026
Nonparametric motion control in functional connectivity studies in children with autism spectrum disorderJialu Ran, Sarah Shultz, Benjamin B Risk, et al.
Biometrics|July 28, 2019
Robust inference on the average treatment effect using the outcome highly adaptive lassoCheng Ju, David Benkeser, Mark J van der Laan
Statistics in Medicine|April 2, 2026
Comparing HIV Vaccine Immunogenicity Across Trials With Different Populations and Study DesignsYutong Jin, Alex Luedtke, Zoe Moodie, et al.
Statistics in Medicine|May 6, 2017
Online cross-validation-based ensemble learningDavid Benkeser, Cheng Ju, Sam Lendle, et al.
Health Services & Outcomes Research Methodology|November 28, 2022
A two-stage super learner for healthcare expendituresZiyue Wu, Seth A Berkowitz, Patrick J Heagerty, et al.
Epidemiology (Cambridge, Mass.)|March 30, 2026
Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational dataEmily Wu, Elizabeth Rogawski McQuade, Mats Stensrud, et al.
Statistics in Biosciences|March 26, 2021
Design and analysis considerations for a sequentially randomized HIV prevention trialDavid Benkeser, Keith Horvath, Cathy J Reback, et al.
Biometrics|September 26, 2020
Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomesDavid Benkeser, Iván Díaz, Alex Luedtke, et al.
Pageof 10