Bayesian hidden Markov models for delineating the pathology of Alzheimer’s disease K Kang, J Cai, X Song, H Zhu Statistical methods in medical research 28 (7), 2112-2124, 2019 | 25 | 2019 |
Bayesian proportional hazards model with latent variables D Pan, K Kang, C Wang, X Song Statistical methods in medical research 28 (4), 986-1002, 2019 | 14 | 2019 |
Bayesian adaptive group lasso with semiparametric hidden Markov models K Kang, X Song, XJ Hu, H Zhu Statistics in medicine 38 (9), 1634-1650, 2019 | 13 | 2019 |
A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease K Kang, D Pan, X Song Statistics in Medicine 41 (2), 356-373, 2022 | 11 | 2022 |
Two‐part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates X Zhou, K Kang, X Song Statistics in Medicine 39 (13), 1801-1816, 2020 | 11 | 2020 |
Joint hidden Markov model for longitudinal and time-to-event data with latent variables X Zhou, K Kang, T Kwok, X Song Multivariate Behavioral Research 57 (2-3), 441-457, 2022 | 10 | 2022 |
Bayesian analysis of semiparametric hidden Markov models with latent variables X Song, K Kang, M Ouyang, X Jiang, J Cai Structural Equation Modeling: A Multidisciplinary Journal 25 (1), 1-20, 2018 | 10 | 2018 |
Joint modeling of longitudinal imaging and survival data K Kang, XY Song Journal of Computational and Graphical Statistics 32 (2), 402-412, 2023 | 6 | 2023 |
Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables K Kang, X Song Journal of Multivariate Analysis 187, 104827, 2022 | 5 | 2022 |
Bayesian diagnostics of hidden Markov structural equation models with missing data J Cai, M Ouyang, K Kang, X Song Multivariate Behavioral Research 53 (2), 151-171, 2018 | 4 | 2018 |
Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression Y He, X Song, K Kang The Annals of Applied Statistics 18 (3), 1924-1946, 2024 | | 2024 |