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

Brian Neelon

Showing results (21-30 of 130) with videos related to

Pageof 13
Sort By:
Statistics in Medicine|August 9, 2016
Modeling zero-modified count and semicontinuous data in health services research part 2: case studiesBrian Neelon, A James O'Malley, Valerie A Smith
Journal of Applied Statistics|June 1, 2023
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populationsBrian Neelon, Chun-Che Wen, Sara E Benjamin-Neelon
Biometrics|June 10, 2010
A bayesian two-part latent class model for longitudinal medical expenditure data: assessing the impact of mental health and substance abuse parityBrian Neelon, A James O'Malley, Sharon-Lise T Normand
Biometrics|September 26, 2012
Bayesian latent factor regression for functional and longitudinal dataSilvia Montagna, Surya T Tokdar, Brian Neelon, et al.
Biorxiv : the Preprint Server for Biology|December 3, 2025
CBKMR: A Copula-based Bayesian Kernel Machine Regression Framework for Optimal Marker Detection in Omics DataAnirban Chakraborty, Chloe Mattila, Debashis Ghosh, et al.
BMJ Open|February 21, 2019
Longitudinal associations of gross motor development, motor milestone achievement and weight-for-length z score in a racially diverse cohort of US infantsAzza Shoaibi, Brian Neelon, Truls Østbye, et al.
Journal of Statistical Distributions and Applications|April 28, 2017
Marginalized mixture models for count data from multiple source populationsHabtamu K Benecha, Brian Neelon, Kimon Divaris, et al.
Statistical Methods in Medical Research|April 1, 2014
Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visitsBrian Neelon, Howard H Chang, Qiang Ling, et al.
Annals of Epidemiology|February 6, 2018
Racial differences in spatial patterns for poor glycemic control in the Southeastern United StatesRebekah J Walker, Brian Neelon, Melanie Davis, et al.
Substance Use & Misuse|January 27, 2023
Predictors of Treatment Completion among Women Receiving Integrated Treatment for Comorbid Posttraumatic Stress and Substance Use DisordersTherese K Killeen, Chun-Che Wen, Brian Neelon, et al.
Pageof 13

Showing results (21-30 of 130) with videos related to

Sort By:
Pageof 13
Statistics in Medicine|August 9, 2016
Modeling zero-modified count and semicontinuous data in health services research part 2: case studiesBrian Neelon, A James O'Malley, Valerie A Smith
Journal of Applied Statistics|June 1, 2023
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populationsBrian Neelon, Chun-Che Wen, Sara E Benjamin-Neelon
Biometrics|June 10, 2010
A bayesian two-part latent class model for longitudinal medical expenditure data: assessing the impact of mental health and substance abuse parityBrian Neelon, A James O'Malley, Sharon-Lise T Normand
Biometrics|September 26, 2012
Bayesian latent factor regression for functional and longitudinal dataSilvia Montagna, Surya T Tokdar, Brian Neelon, et al.
Biorxiv : the Preprint Server for Biology|December 3, 2025
CBKMR: A Copula-based Bayesian Kernel Machine Regression Framework for Optimal Marker Detection in Omics DataAnirban Chakraborty, Chloe Mattila, Debashis Ghosh, et al.
BMJ Open|February 21, 2019
Longitudinal associations of gross motor development, motor milestone achievement and weight-for-length z score in a racially diverse cohort of US infantsAzza Shoaibi, Brian Neelon, Truls Østbye, et al.
Journal of Statistical Distributions and Applications|April 28, 2017
Marginalized mixture models for count data from multiple source populationsHabtamu K Benecha, Brian Neelon, Kimon Divaris, et al.
Statistical Methods in Medical Research|April 1, 2014
Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visitsBrian Neelon, Howard H Chang, Qiang Ling, et al.
Annals of Epidemiology|February 6, 2018
Racial differences in spatial patterns for poor glycemic control in the Southeastern United StatesRebekah J Walker, Brian Neelon, Melanie Davis, et al.
Substance Use & Misuse|January 27, 2023
Predictors of Treatment Completion among Women Receiving Integrated Treatment for Comorbid Posttraumatic Stress and Substance Use DisordersTherese K Killeen, Chun-Che Wen, Brian Neelon, et al.
Pageof 13