These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
247 related articles for article (PubMed ID: 29682772)
21. A Bayesian model for joint analysis of multivariate repeated measures and time to event data in crossover trials. Liu F; Li Q Stat Methods Med Res; 2016 Oct; 25(5):2180-2192. PubMed ID: 24448442 [TBL] [Abstract][Full Text] [Related]
22. Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling. Farcomeni A; Viviani S Stat Med; 2015 Mar; 34(7):1199-213. PubMed ID: 25488110 [TBL] [Abstract][Full Text] [Related]
23. Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data. Baghfalaki T; Ganjali M Stat Methods Med Res; 2021 Jun; 30(6):1484-1501. PubMed ID: 33872092 [TBL] [Abstract][Full Text] [Related]
24. Semiparametric analysis for recurrent event data with time-dependent covariates and informative censoring. Huang CY; Qin J; Wang MC Biometrics; 2010 Mar; 66(1):39-49. PubMed ID: 19459839 [TBL] [Abstract][Full Text] [Related]
25. Joint mean-covariance random effect model for longitudinal data. Bai Y; Qian M; Tian M Biom J; 2020 Jan; 62(1):7-23. PubMed ID: 31544252 [TBL] [Abstract][Full Text] [Related]
26. Joint modeling of longitudinal, recurrent events and failure time data for survivor's population. Cai Q; Wang MC; Chan KCG Biometrics; 2017 Dec; 73(4):1150-1160. PubMed ID: 28334426 [TBL] [Abstract][Full Text] [Related]
27. General joint frailty model for recurrent event data with a dependent terminal event: Application to follicular lymphoma data. Mazroui Y; Mathoulin-Pelissier S; Soubeyran P; Rondeau V Stat Med; 2012 May; 31(11-12):1162-76. PubMed ID: 22307954 [TBL] [Abstract][Full Text] [Related]
28. A semiparametric likelihood approach to joint modeling of longitudinal and time-to-event data. Song X; Davidian M; Tsiatis AA Biometrics; 2002 Dec; 58(4):742-53. PubMed ID: 12495128 [TBL] [Abstract][Full Text] [Related]
29. Semiparametric transformation models with random effects for joint analysis of recurrent and terminal events. Zeng D; Lin DY Biometrics; 2009 Sep; 65(3):746-52. PubMed ID: 18945267 [TBL] [Abstract][Full Text] [Related]
30. The use of Gaussian quadrature for estimation in frailty proportional hazards models. Liu L; Huang X Stat Med; 2008 Jun; 27(14):2665-83. PubMed ID: 17910008 [TBL] [Abstract][Full Text] [Related]
31. Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm. Ripatti S; Larsen K; Palmgren J Lifetime Data Anal; 2002 Dec; 8(4):349-60. PubMed ID: 12471944 [TBL] [Abstract][Full Text] [Related]
32. A joint model for longitudinal and survival data based on an AR(1) latent process. Bacci S; Bartolucci F; Pandolfi S Stat Methods Med Res; 2018 May; 27(5):1285-1311. PubMed ID: 27587589 [TBL] [Abstract][Full Text] [Related]
33. Joint frailty model for recurrent events and death in presence of cure fraction: Application to breast cancer data. Talebi-Ghane E; Baghestani A; Zayeri F; Rondeau V; Akhavan A Biom J; 2021 Apr; 63(4):725-744. PubMed ID: 33368665 [TBL] [Abstract][Full Text] [Related]
34. Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions. Lin LA; Luo S; Chen BE; Davis BR Stat Methods Med Res; 2017 Dec; 26(6):2869-2884. PubMed ID: 26546256 [TBL] [Abstract][Full Text] [Related]
35. Variable selection for joint models of multivariate skew-normal longitudinal and survival data. Tang J; Tang AM; Tang N Stat Methods Med Res; 2023 Sep; 32(9):1694-1710. PubMed ID: 37408456 [TBL] [Abstract][Full Text] [Related]
36. Joint model for bivariate zero-inflated recurrent event data with terminal events. Kim YJ J Appl Stat; 2021; 48(4):738-749. PubMed ID: 35706984 [TBL] [Abstract][Full Text] [Related]
37. Parametric latent class joint model for a longitudinal biomarker and recurrent events. Han J; Slate EH; Peña EA Stat Med; 2007 Dec; 26(29):5285-302. PubMed ID: 17542002 [TBL] [Abstract][Full Text] [Related]
38. Regression analysis of multivariate current status data with dependent censoring: application to ankylosing spondylitis data. Chen CM; Wei JC; Hsu CM; Lee MY Stat Med; 2014 Feb; 33(5):772-85. PubMed ID: 24122926 [TBL] [Abstract][Full Text] [Related]
39. The analysis of multivariate recurrent events with partially missing event types. Chen BE; Cook RJ Lifetime Data Anal; 2009 Mar; 15(1):41-58. PubMed ID: 18622700 [TBL] [Abstract][Full Text] [Related]
40. H-likelihood approach for joint modeling of longitudinal outcomes and time-to-event data. Ha ID; Noh M; Lee Y Biom J; 2017 Nov; 59(6):1122-1143. PubMed ID: 29139605 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]