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

Honglang Wang

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Current Genomics|May 9, 2017
Statistical Identification of Gene-gene Interactions Triggered By Nonlinear Environmental ModulationXu Liu, Honglang Wang, Yuehua Cui
Plos One|January 27, 2025
Generalized functional varying-index coefficient model for dynamic synergistic gene-environment interactions with binary longitudinal traitsJingyi Zhang, Honglang Wang, Yuehua Cui
Statistics in Medicine|March 19, 2021
Robust estimation of heterogeneous treatment effects using electronic health record dataRuohong Li, Honglang Wang, Wanzhu Tu
Journal of Applied Statistics|October 6, 2025
BSTPP: a python package for Bayesian spatiotemporal point processesIsaac Manring, Honglang Wang, George Mohler, et al.
Communications in Statistics: Simulation and Computation|December 18, 2023
Robust Estimation of Heterogeneous Treatment Effects: An Algorithm-based ApproachRuohong Li, Honglang Wang, Yi Zhao, et al.
BMC Proceedings|December 19, 2014
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interactionHonglang Wang, Tao He, Cen Wu, et al.
The Journal of Pediatrics|February 17, 2019
Expired Tidal Volume Variation in Extremely Low Birth Weight and Very Low Birth Weight Infants on Volume-Targeted VentilationSamuel Wong, Honglang Wang, Robert Tepper, et al.
Statistics in Medicine|May 18, 2022
Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traitsHonglang Wang, Jingyi Zhang, Kelly L Klump, et al.
Nature Communications|June 19, 2021
Observed increasing water constraint on vegetation growth over the last three decadesWenzhe Jiao, Lixin Wang, William K Smith, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Current Genomics|May 9, 2017
Statistical Identification of Gene-gene Interactions Triggered By Nonlinear Environmental ModulationXu Liu, Honglang Wang, Yuehua Cui
Plos One|January 27, 2025
Generalized functional varying-index coefficient model for dynamic synergistic gene-environment interactions with binary longitudinal traitsJingyi Zhang, Honglang Wang, Yuehua Cui
Statistics in Medicine|March 19, 2021
Robust estimation of heterogeneous treatment effects using electronic health record dataRuohong Li, Honglang Wang, Wanzhu Tu
Journal of Applied Statistics|October 6, 2025
BSTPP: a python package for Bayesian spatiotemporal point processesIsaac Manring, Honglang Wang, George Mohler, et al.
Communications in Statistics: Simulation and Computation|December 18, 2023
Robust Estimation of Heterogeneous Treatment Effects: An Algorithm-based ApproachRuohong Li, Honglang Wang, Yi Zhao, et al.
BMC Proceedings|December 19, 2014
A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interactionHonglang Wang, Tao He, Cen Wu, et al.
The Journal of Pediatrics|February 17, 2019
Expired Tidal Volume Variation in Extremely Low Birth Weight and Very Low Birth Weight Infants on Volume-Targeted VentilationSamuel Wong, Honglang Wang, Robert Tepper, et al.
Statistics in Medicine|May 18, 2022
Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traitsHonglang Wang, Jingyi Zhang, Kelly L Klump, et al.
Nature Communications|June 19, 2021
Observed increasing water constraint on vegetation growth over the last three decadesWenzhe Jiao, Lixin Wang, William K Smith, et al.
Pageof 1