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Biometrics|February 2, 2021
A model for analyzing clustered occurrence dataWen-Han Hwang, Richard Huggins, Jakub StoklosaBiometrics|February 5, 2021
Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer dataLijiang Geng, Guanyu HuBiometrics|January 15, 2022
Generalized network structured models with mixed responses subject to measurement error and misclassificationQihuang Zhang, Grace Y YiBiometrics|January 8, 2022
Bayesian inference for stationary points in Gaussian process regression models for event-related potentials analysisCheng-Han Yu, Meng Li, Colin Noe, et al.Biometrics|February 28, 2014
Assessing the significance of global and local correlations under spatial autocorrelation: a nonparametric approachJúlia Viladomat, Rahul Mazumder, Alex McInturff, et al.Biometrics|February 28, 2014
Bayesian hidden Markov models to identify RNA-protein interaction sites in PAR-CLIPJonghyun Yun, Tao Wang, Guanghua XiaoBiometrics|December 1, 1988
The use of a mixture model in the analysis of count dataV T Farewell, D A SprottBiometrics|March 25, 2021
A Bayesian spatial model for imaging geneticsYin Song, Shufei Ge, Jiguo Cao, et al.Biometrics|August 16, 2011
Bayesian adaptive trial design for a newly validated surrogate endpointLindsay A Renfro, Bradley P Carlin, Daniel J SargentBiometrics|February 9, 2012
Estimating incident population distribution from prevalent dataKwun Chuen Gary Chan, Mei-Cheng WangPageof 554