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

Alex Luedtke

Showing results (21-30 of 77) with videos related to

Pageof 8
Sort By:
Journal of the American Statistical Association|August 26, 2024
Inference for treatment-specific survival curves using machine learningTed Westling, Alex Luedtke, Peter B Gilbert, et al.
Journal of the American Statistical Association|September 29, 2025
Data fusion using weakly aligned sourcesSijia Li, Peter B Gilbert, Rui Duan, et al.
Proceedings of Machine Learning Research|April 10, 2026
Stabilized Inverse Probability Weighting via Isotonic CalibrationLars van der Laan, Ziming Lin, Marco Carone, et al.
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.
Proceedings of Machine Learning Research|August 14, 2023
Causal isotonic calibration for heterogeneous treatment effectsLars van der Laan, Ernesto Ulloa-Pérez, Marco Carone, et al.
Epidemiology (Cambridge, Mass.)|April 14, 2020
Re. Selecting Optimal Subgroups for Treatment Using Many CovariatesBas B L Penning de Vries, Rolf H H Groenwold, Alex Luedtke
Medrxiv : the Preprint Server for Health Sciences|June 25, 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.
Biometrics|May 29, 2021
Rejoinder: 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.
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.
Journal of the American Statistical Association|June 27, 2022
Correction to: "Optimal Individualized Decision Rules Using Instrumental Variable Methods"Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, et al.
Pageof 8

Showing results (21-30 of 77) with videos related to

Sort By:
Pageof 8
Journal of the American Statistical Association|August 26, 2024
Inference for treatment-specific survival curves using machine learningTed Westling, Alex Luedtke, Peter B Gilbert, et al.
Journal of the American Statistical Association|September 29, 2025
Data fusion using weakly aligned sourcesSijia Li, Peter B Gilbert, Rui Duan, et al.
Proceedings of Machine Learning Research|April 10, 2026
Stabilized Inverse Probability Weighting via Isotonic CalibrationLars van der Laan, Ziming Lin, Marco Carone, et al.
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.
Proceedings of Machine Learning Research|August 14, 2023
Causal isotonic calibration for heterogeneous treatment effectsLars van der Laan, Ernesto Ulloa-Pérez, Marco Carone, et al.
Epidemiology (Cambridge, Mass.)|April 14, 2020
Re. Selecting Optimal Subgroups for Treatment Using Many CovariatesBas B L Penning de Vries, Rolf H H Groenwold, Alex Luedtke
Medrxiv : the Preprint Server for Health Sciences|June 25, 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.
Biometrics|May 29, 2021
Rejoinder: 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.
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.
Journal of the American Statistical Association|June 27, 2022
Correction to: "Optimal Individualized Decision Rules Using Instrumental Variable Methods"Hongxiang Qiu, Marco Carone, Ekaterina Sadikova, et al.
Pageof 8