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

S Small

Showing results (31-40 of 476) with videos related to

Pageof 48
Sort By:
Ostomy/Wound Management|November 1, 1995
Standardizing skin care across settingsD S Brown, S Small, D Jones
Biometrics|July 16, 2013
Modeling parasite infection dynamics when there is heterogeneity and imperfect detectabilityNa Cui, Yuguo Chen, Dylan S Small
Biometrics|August 23, 2025
Sensitivity analysis for attributable effects in case2 studiesKan Chen, Ting Ye, Dylan S Small
Biometrics|July 8, 2011
A powerful and robust test statistic for randomization inference in group-randomized trials with matched pairs of groupsKai Zhang, Mikhail Traskin, Dylan S Small
Journal of the Royal Statistical Society. Series B, Statistical Methodology|September 23, 2022
Selective inference for effect modification via the lassoQingyuan Zhao, Dylan S Small, Ashkan Ertefaie
Statistical Methods in Medical Research|August 19, 2015
A review of instrumental variable estimators for Mendelian randomizationStephen Burgess, Dylan S Small, Simon G Thompson
Healthcare Management Forum|May 17, 2019
Organizational implications of implementing a new adverse drug event reporting system for care providers and integrating it with provincial health information systemsSerena S Small, Corinne M Hohl, Ellen Balka
Biometrics|May 9, 2018
A powerful approach to the study of moderate effect modification in observational studiesKwonsang Lee, Dylan S Small, Paul R Rosenbaum
BMC Medical Research Methodology|September 22, 2020
Semiparametric estimation of the attributable fraction when there are interactions under monotonicity constraintsWei Wang, Dylan S Small, Michael O Harhay
Statistics in Medicine|February 21, 2019
Sensitivity analyses for average treatment effects when outcome is censored by death in instrumental variable modelsKwonsang Lee, Scott A Lorch, Dylan S Small
Pageof 48

Showing results (31-40 of 476) with videos related to

Sort By:
Pageof 48
Ostomy/Wound Management|November 1, 1995
Standardizing skin care across settingsD S Brown, S Small, D Jones
Biometrics|July 16, 2013
Modeling parasite infection dynamics when there is heterogeneity and imperfect detectabilityNa Cui, Yuguo Chen, Dylan S Small
Biometrics|August 23, 2025
Sensitivity analysis for attributable effects in case2 studiesKan Chen, Ting Ye, Dylan S Small
Biometrics|July 8, 2011
A powerful and robust test statistic for randomization inference in group-randomized trials with matched pairs of groupsKai Zhang, Mikhail Traskin, Dylan S Small
Journal of the Royal Statistical Society. Series B, Statistical Methodology|September 23, 2022
Selective inference for effect modification via the lassoQingyuan Zhao, Dylan S Small, Ashkan Ertefaie
Statistical Methods in Medical Research|August 19, 2015
A review of instrumental variable estimators for Mendelian randomizationStephen Burgess, Dylan S Small, Simon G Thompson
Healthcare Management Forum|May 17, 2019
Organizational implications of implementing a new adverse drug event reporting system for care providers and integrating it with provincial health information systemsSerena S Small, Corinne M Hohl, Ellen Balka
Biometrics|May 9, 2018
A powerful approach to the study of moderate effect modification in observational studiesKwonsang Lee, Dylan S Small, Paul R Rosenbaum
BMC Medical Research Methodology|September 22, 2020
Semiparametric estimation of the attributable fraction when there are interactions under monotonicity constraintsWei Wang, Dylan S Small, Michael O Harhay
Statistics in Medicine|February 21, 2019
Sensitivity analyses for average treatment effects when outcome is censored by death in instrumental variable modelsKwonsang Lee, Scott A Lorch, Dylan S Small
Pageof 48