Showing results (1-10 of 329) with videos related to
Sort By:
Pageof 33
Biometrics|November 18, 2015
Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applicationsHyoyoung Choo-Wosoba, Steven M Levy, Somnath DattaJournal of Applied Statistics|May 14, 2019
Analyzing clustered count data with a cluster specific random effect zero-inflated Conway-Maxwell-Poisson distributionHyoyoung Choo-Wosoba, Somnath DattaStatistics in Medicine|November 7, 2017
A Bayesian approach for analyzing zero-inflated clustered count data with dispersionHyoyoung Choo-Wosoba, Jeremy Gaskins, Steven Levy, et al.Biostatistics (Oxford, England)|April 14, 2020
A hidden Markov modeling approach for identifying tumor subclones in next-generation sequencing studiesHyoyoung Choo-Wosoba, Paul S Albert, Bin ZhuBMC Bioinformatics|November 16, 2018
hsegHMM: hidden Markov model-based allele-specific copy number alteration analysis accounting for hypersegmentationHyoyoung Choo-Wosoba, Paul S Albert, Bin ZhuStatistical Methods in Medical Research|June 12, 2020
An imputation approach for fitting two-part mixed effects models for longitudinal semi-continuous dataHyoyoung Choo-Wosoba, Debamita Kundu, Paul S AlbertBiometrical Journal. Biometrische Zeitschrift|January 4, 2021
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway-Maxwell-Poisson distributionTong Kang, Steven M Levy, Somnath DattaStatistics in Medicine|January 17, 2020
Modeling repeated labor curves in consecutive pregnancies: Individualized prediction of labor progression from previous pregnancy dataOlive D Buhule, Hyoyoung Choo-Wosoba, Paul S AlbertComputational Statistics & Data Analysis|January 27, 2015
GEE type inference for clustered zero-inflated negative binomial regression with application to dental cariesMaiying Kong, Sheng Xu, Steven M Levy, et al.The Journal of Surgical Research|June 10, 2025
R01 Funding for Surgeons; What Are the Key Factors for Success?Shadin Ghabra, Lindsay A Demblowski, Carolina Larrain, et al.Pageof 33