| 1. Banerjee, S., Wall, M. M. and Carlin, B. P. (2003), Frailty Modeling for Spatially Correlated Survival Data with Application to Infant Mortality in Minnesota, Biostatistics, 4(1), 123-142. [DOI:10.1093/biostatistics/4.1.123 ]  [PMID ] 2. Cox, D. R. (1972), Regression Models and life-tables (with Discussion), Journal of the Royal Statistical Society, Series B 34, 187-220. [DOI:10.1111/j.2517-6161.1972.tb00899.x ] 3. Diggle, P. J., and J. A. Tawn, and R. A. Moyeed (1998), Model-based Geostatistics, Journal of the Royal Statistical Society: Series C (Applied Statistics), 47, 299-350. [DOI:10.1111/1467-9876.00113 ] 4. Gelfand, Alan E., and Sudipto Banerjee. (2017), Bayesian Modeling and Analysis of Geostatistical Data, Annual Review of Statistics and Its Application, 4, 245-266. [DOI:10.1146/annurev-statistics-060116-054155 ]  [PMID ]  [ ] 5. Liu, Yulu. (2023), A Review of Survival Analysis Theory and Its Application. Proceedings of the 2nd International Conference on Culture, Design and Social Development (CDSD 2022). [DOI:10.2991/978-2-38476-018-3_54 ] 6. Liopis-Cardona, Fran, Carmen Armero, and Gabriel Sanfélix-Gimeno. (2023), A Bayesian Multivariate Spatial Approach for Illness-death Survival Models. Statistical Methods in Medical Research, 32, 1633-1648. [DOI:10.1177/09622802231172034 ]  [PMID ]  [ ] 7. Miller, J. R. G. (2011), Survival Analysis, New York: Springer. 8. Mohammadzadeh, M (2019), Spatial Statistics and its Applications, Third edition, Tarbiat Modares University, Tehran, Iran. 9. Motarjem, K., (2022), Introduce a Survival Model with Spatial Skew Gaussian Random Effects and its Application in Covid-19 Data Analysis. Journal of Statistical Sciences, 15(2), 567-590. [DOI:10.52547/jss.15.2.567 ] 10. Motarjem, K., and Mohammadzadeh, M., and Abyar, A. (2020), Geostatistical Survival Model with Gaussian Random Effect, Statistical Papers, 61, 85-107. [DOI:10.1007/s00362-017-0922-8 ] 11. Rue, H. and Held, L. (2005), Gaussian Markov Random Fields, Chapman and Hall. [DOI:10.1201/9780203492024 ] 12. Tang, Y., Song, X., and Yi, G. Y. (2022), Bayesian Analysis under Accelerated Failure Time Models with Error-prone Time-to-event Outcomes. Lifetime Data Analysis, 1-30. [DOI:10.1007/s10985-021-09543-3 ]  [PMID ] 13. Thamrin, S. A., and Amran, J.aya, A. K., and Rahmi, S., and Ansariadi. (2017), Bayesian Inference for Spatial Parametric Proportional Hazards Model Using Spatsurv R, In AIP Conference Proceeding, 1827(1), 200-215. [DOI:10.1063/1.4979431 ] 14. Thamrin, S. A., Jaya, A. K., and Mengersen, K. (2021), Bayesian Spatial Survival Modelling for Dengue Dever in Makassar, Indonesia. Gaceta sanitaria, 35, 59-63. [DOI:10.1016/j.gaceta.2020.12.017 ]  [PMID ] 15. Zhang, Z., Stringer, A., Brown, P. and Stafford, J. (2023), Bayesian Inference for Cox Proportional Hazard Models with Partial Likelihoods, Nonlinear Covariate Effects and Correlated Observations. Statistical Methods in Medical Research, 32(1), 165-180. [DOI:10.1177/09622802221134172 ]  [PMID ]  [ ] 16. Zhou, H. and Hanson, T. (2015), Bayesian Spatial Survival Models, Nonparametric Bayesian Inference in Biostatistics, 215-246. [DOI:10.1007/978-3-319-19518-6_11 ]  |