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

Pavel Chernyavskiy

Showing results (1-10 of 46) with videos related to

Pageof 5
Sort By:
Traffic Injury Prevention|July 25, 2022
Evaluation of mechanism of injury criteria for field triage of occupants involved in motor vehicle collisionsThomas Hartka, George Glass, Pavel Chernyavskiy
Frontiers in Psychology|January 28, 2025
Achievement emotions in kindergarten: the association of solution accuracy with discrete joy, sadness, and surpriseTraci Shizu Kutaka, Pavel Chernyavskiy, Tara Hofkens
Plos One|January 14, 2021
Impact of altitude on COVID-19 infection and death in the United States: A modeling and observational studyKenton E Stephens, Pavel Chernyavskiy, Danielle R Bruns
Statistics in Medicine|October 6, 2017
Correlated Poisson models for age-period-cohort analysisPavel Chernyavskiy, Mark P Little, Philip S Rosenberg
Ecological Applications : a Publication of the Ecological Society of America|October 22, 2021
Partitioning macroscale and microscale ecological processes using covariate-driven non-stationary spatial modelsCharlotte F Narr, Pavel Chernyavskiy, Sarah M Collins
Biostatistics (Oxford, England)|April 29, 2019
Spatially varying age-period-cohort analysis with application to US mortality, 2002-2016Pavel Chernyavskiy, Mark P Little, Philip S Rosenberg
Statistical Methods in Medical Research|June 8, 2017
A unified approach for assessing heterogeneity in age-period-cohort model parameters using random effectsPavel Chernyavskiy, Mark P Little, Philip S Rosenberg
Traffic Injury Prevention|November 1, 2024
Comparison of deep learning approaches to estimate injury severity from the International Classification of Diseases codesAyush Doshi, Charbel Marche, Pavel Chernyavskiy, et al.
Accident; Analysis and Prevention|July 7, 2023
Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury ScaleThomas Hartka, Pavel Chernyavskiy, George Glass, et al.
Cancer Epidemiology|August 16, 2021
Geographic disparities of breast cancer incidence in Portugal at the district level: A spatial age-period-cohort analysis, 1998-2011Joseph H Froelicher, Gonçalo Forjaz, Philip S Rosenberg, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Traffic Injury Prevention|July 25, 2022
Evaluation of mechanism of injury criteria for field triage of occupants involved in motor vehicle collisionsThomas Hartka, George Glass, Pavel Chernyavskiy
Frontiers in Psychology|January 28, 2025
Achievement emotions in kindergarten: the association of solution accuracy with discrete joy, sadness, and surpriseTraci Shizu Kutaka, Pavel Chernyavskiy, Tara Hofkens
Plos One|January 14, 2021
Impact of altitude on COVID-19 infection and death in the United States: A modeling and observational studyKenton E Stephens, Pavel Chernyavskiy, Danielle R Bruns
Statistics in Medicine|October 6, 2017
Correlated Poisson models for age-period-cohort analysisPavel Chernyavskiy, Mark P Little, Philip S Rosenberg
Ecological Applications : a Publication of the Ecological Society of America|October 22, 2021
Partitioning macroscale and microscale ecological processes using covariate-driven non-stationary spatial modelsCharlotte F Narr, Pavel Chernyavskiy, Sarah M Collins
Biostatistics (Oxford, England)|April 29, 2019
Spatially varying age-period-cohort analysis with application to US mortality, 2002-2016Pavel Chernyavskiy, Mark P Little, Philip S Rosenberg
Statistical Methods in Medical Research|June 8, 2017
A unified approach for assessing heterogeneity in age-period-cohort model parameters using random effectsPavel Chernyavskiy, Mark P Little, Philip S Rosenberg
Traffic Injury Prevention|November 1, 2024
Comparison of deep learning approaches to estimate injury severity from the International Classification of Diseases codesAyush Doshi, Charbel Marche, Pavel Chernyavskiy, et al.
Accident; Analysis and Prevention|July 7, 2023
Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury ScaleThomas Hartka, Pavel Chernyavskiy, George Glass, et al.
Cancer Epidemiology|August 16, 2021
Geographic disparities of breast cancer incidence in Portugal at the district level: A spatial age-period-cohort analysis, 1998-2011Joseph H Froelicher, Gonçalo Forjaz, Philip S Rosenberg, et al.
Pageof 5