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Journal of Applied Statistics|September 18, 2023
Bayesian models for spatial count data with informative finite populations with application to the American community surveyKai Qu, Jonathan R BradleyJournal of Applied Statistics|September 18, 2023
Joint modelling of longitudinal measurements and survival times via a multivariate copula approachZili Zhang, Christiana Charalambous, Peter FosterJournal of Applied Statistics|July 12, 2023
Efficient estimation of a Cox model when integrating the subgroup incidence rate informationPei-Fang Su, Junjiang Zhong, Yi-Chia Liu, et al.Journal of Applied Statistics|July 12, 2023
Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects modelYulan B van Oppen, Gabi Milder-Mulderij, Christophe Brochard, et al.Journal of Applied Statistics|September 21, 2020
A semiparametric marginalized zero-inflated model for analyzing healthcare utilization panel data with missingnessTian Chen, Hui Zhang, Bo ZhangJournal of Applied Statistics|July 11, 2022
Empirical likelihood estimation for linear regression models with AR(p) error terms with numerical examplesŞenay Özdemir, Yeşim Güney, Yetkin Tuaç, et al.Journal of Applied Statistics|July 28, 2022
Isotonic regression for metallic microstructure data: estimation and testing under order restrictionsMartina Vittorietti, Javier Hidalgo, Jilt Sietsma, et al.Journal of Applied Statistics|April 11, 2022
Modeling the effects of multiple exposures with unknown group memberships: a Bayesian latent variable approachAlexis Zavez, Emeir M McSorley, Alison J Yeates, et al.Journal of Applied Statistics|March 22, 2016
Data-driven desirability function to measure patients' disease progression in a longitudinal studyHsiu-Wen Chen, Weng Kee Wong, Hongquan XuJournal of Applied Statistics|June 25, 2016
Methods to Assess Measurement Error in Questionnaires of Sedentary BehaviorJoshua N Sampson, Charles E Matthews, Laurence Freedman, et al.Pageof 119