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

Layla Parast

Showing results (31-40 of 108) with videos related to

Pageof 11
Sort By:
BMC Medical Research Methodology|August 16, 2019
Dynamic risk prediction for diabetes using biomarker change measurementsLayla Parast, Megan Mathews, Mark W Friedberg
Statistics in Medicine|February 21, 2022
Estimation of the proportion of treatment effect explained by a high-dimensional surrogateRuixuan Rachel Zhou, Sihai Dave Zhao, Layla Parast
Kidney Medicine|April 22, 2026
Differences in Telemedicine Use Between Rural and Urban Medicare Beneficiaries With Kidney FailureJoel T Adler, Arnold E Kuk, Layla Parast
Statistics in Medicine|September 19, 2025
Model-Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall SurvivalXuan Wang, Tianxi Cai, Lu Tian, et al.
Medical Care|December 11, 2023
Statistical Methods to Evaluate Surrogate MarkersLayla Parast, Lu Tian, Tianxi Cai, et al.
Biometrics|August 4, 2025
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trialsXuan Wang, Jie Zhou, Layla Parast, et al.
Lifetime Data Analysis|December 21, 2012
Evaluating incremental values from new predictors with net reclassification improvement in survival analysisYingye Zheng, Layla Parast, Tianxi Cai, et al.
Biometrika|June 27, 2020
Model-free approach to quantifying the proportion of treatment effect explained by a surrogate markerXuan Wang, Layla Parast, L U Tian, et al.
BMJ Open Diabetes Research & Care|October 31, 2023
Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markersLayla Parast, Lu Tian, Tianxi Cai, et al.
Biostatistics (Oxford, England)|July 6, 2022
Doubly robust evaluation of high-dimensional surrogate markersDenis Agniel, Boris P Hejblum, Rodolphe Thiébaut, et al.
Pageof 11

Showing results (31-40 of 108) with videos related to

Sort By:
Pageof 11
BMC Medical Research Methodology|August 16, 2019
Dynamic risk prediction for diabetes using biomarker change measurementsLayla Parast, Megan Mathews, Mark W Friedberg
Statistics in Medicine|February 21, 2022
Estimation of the proportion of treatment effect explained by a high-dimensional surrogateRuixuan Rachel Zhou, Sihai Dave Zhao, Layla Parast
Kidney Medicine|April 22, 2026
Differences in Telemedicine Use Between Rural and Urban Medicare Beneficiaries With Kidney FailureJoel T Adler, Arnold E Kuk, Layla Parast
Statistics in Medicine|September 19, 2025
Model-Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall SurvivalXuan Wang, Tianxi Cai, Lu Tian, et al.
Medical Care|December 11, 2023
Statistical Methods to Evaluate Surrogate MarkersLayla Parast, Lu Tian, Tianxi Cai, et al.
Biometrics|August 4, 2025
Semiparametric joint modeling to estimate the treatment effect on a longitudinal surrogate with application to chronic kidney disease trialsXuan Wang, Jie Zhou, Layla Parast, et al.
Lifetime Data Analysis|December 21, 2012
Evaluating incremental values from new predictors with net reclassification improvement in survival analysisYingye Zheng, Layla Parast, Tianxi Cai, et al.
Biometrika|June 27, 2020
Model-free approach to quantifying the proportion of treatment effect explained by a surrogate markerXuan Wang, Layla Parast, L U Tian, et al.
BMJ Open Diabetes Research & Care|October 31, 2023
Can earlier biomarker measurements explain a treatment effect on diabetes incidence? A robust comparison of five surrogate markersLayla Parast, Lu Tian, Tianxi Cai, et al.
Biostatistics (Oxford, England)|July 6, 2022
Doubly robust evaluation of high-dimensional surrogate markersDenis Agniel, Boris P Hejblum, Rodolphe Thiébaut, et al.
Pageof 11