1) C. Peng, R. Luo, H. Yang, J. Pan (2024). Joint Mean-angle Model for Spatial Binary Data. Statistica Sinica. SS-2023-0237. DOI: https://doi.org/10.5705/ss.202023.0237
2) S. Ma, K. Yu, M. Tang, J. Pan, W.K. Härdle, M. Tian (2023). A Bayesian multistage spatio-temporally dependent model for spatial clustering and variable selection. Statistics in Medicine. 1-30. DOI: https://doi.org/10.1002/sim.9889
3) C. Wang, J. Shen, C. Charalambous, J. Pan (2023). Modeling biomarker variability in joint analysis of longitudinal and time-to-event data, Biostatistics, DOI: https://doi.org/10.1093/biostatistics/kxad009
4) Y. Yang, H. Dai and J. Pan (2023). Block-diagonal precision matrix regularization for ultra-high dimensional data. Computational Statistics & Data Analysis, 179, 107630, DOI: https://doi.org/10.1016/j.csda.2022.107630
5) C. Ma, C. Wang, and J. Pan (2022). Multistate modeling and structure selection for multitype recurrent events and terminal event data. Biometrical Journal, 1-15, DOI: https://doi.org/10.1002/bimj.202100334
6) C. Peng, Y. Yang, J. Zhou and J. Pan (2022). Latent Gaussian copula models for longitudinal binary data. Journal of Multivariate Analysis, 104940, DOI: https://doi.org/10.1016/j.jmva.2021.104940
7) L. Luo and J. Pan (2022). Conditional generalized estimating equations of mean-variance-correlation for clustered data. Computational Statistics & Data Analysis, Vol 168, DOI: https://doi.org/10.1016/j.csda.2021.107386
8) Y. Pan, Y. Fei, M. Ni, T. Nummi and J. Pan (2021). Growth curve mixture models with unknown covariance structures. Journal of Multivariate Analysis, 104904, DOI: https://doi.org/10.1016/j.jmva.2021.104904
9) S., Cai, J. Zhou and J. Pan (2021). Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis. Statistical Methods in Medical Research, 30(12): 2701-2719.
10) J. Yu, T. Nummi and J. Pan (2022). Mixture regression for longitudinal data based on joint mean–covariance model. Journal of Multivariate Analysis, 104956,
DOI: https://doi.org/10.1016/j.jmva.2022.104956
11) C. Ma and J. Pan (2021). Multi-state Analysis of Multi-type Recurrent Event and Failure Time Data with Event Feedbacks in Biomarkers. Scandinavian Journal of Statistics.
DOI: 10.1111/sjos.12545
12) C. Ma, H. Dai and J. Pan (2021). Modeling past event feedback through biomarker dynamics in the multi-state event analysis for cardiovascular disease data. Annals of Applied Statistics, Vol 15, No. 3, 1308-1328,
DOI: https://doi.org/10.1214/21-AOAS1445
13) Y. Yang, J. Zhou and J. Pan (2021). Estimation and Optimal Structure Selection of High- Dimensional Toeplitz Covariance Matrix. Journal of Multivariate Analysis, Vol 184,
DOI: https://doi.org/10.1016/j.jmva.2021.104739
14) Y. Huang and J. Pan (2020). Joint generalized estimating equations for longitudinal binary data. Computational Statistics & Data Analysis, Vol 155, 107110,
DOI: 10.1016/j.csda.2020.107110
15) Dai, H. and Pan, J. (2018). Joint modelling of survival and longitudinal data with informative observation times. Scandinavian Journal of Statistics. 45, 571-589.
DOI: 10.1111/sjos.12314
16) Jianxin Pan and Yi Pan (2017). jmcm: An R Package for Joint Mean-Covariance Modelling of Longitudinal Data. Journal of Statistical Software.
DOI: 10.18637/jss.v082.i09
17) Chao Huang, Daniel Farewell and Jianxin Pan (2017). A calibration method for non-positive definite covariance matrix in multivariate data analysis. Journal of Multivariate Analysis. 157, p.45-52,
DOI: 10.1016/j.jmva.2017.03.001
18) Qiuji Li, Jianxin Pan and John Belcher (2016). Bayesian Inference for Joint Modelling of Longitudinal Continuous, Binary and Ordinal Events. Statistical Methods in Medical Research. 25, 6, 2521-2540,
DOI: 10.1177/0962280214526199
19) Pan, J., Fei Y., and Foster P. J. (2014). Case-deletion Diagnostics for Linear Mixed Models. Technometrics. 56(3): 269-281,
DOI: 10.1080/00401706.2013.810173
20) T. Nummi, J. Pan, T. Siren and K. Liu (2011). Testing for Cubic Smoothing Splines under Dependent Data. Biometrics, 67, No. 3, 871-875,
DOI: 10.1111/j.1541-0420.2010.01537.x
21) X. Huang, G. Li, R. Elashoff and J. Pan (2011). A general joint model for longitudinal mea- surements and competing risks survival data with heterogeneous random effects. Lifetime Data Analysis, 17, No. 1, 80-100,
DOI: 10.1007/s10985-010-9169-6
22) C. Leng, W. Zhang and J. Pan (2010). Semiparametric mean-covariance regression analysis for longitudinal data. Journal of the American Statistical Association, 105, No. 489, 181-193,
DOI: 10.1198/jasa.2009.tm08485
23) H. Ye and J. Pan (2006). Modelling covariance structures in generalized estimating equations for longitudinal data. Biometrika, 93, 927-941.
24) J. Pan and G. MacKenzie (2003). Model selection for joint mean-covariance structures in longitudinal studies. Biometrika, 90, 239-244.
