347 related articles for article (PubMed ID: 29962288)
1. Bayesian quantile regression joint models: Inference and dynamic predictions.
Yang M; Luo S; DeSantis S
Stat Methods Med Res; 2019 Aug; 28(8):2524-2537. PubMed ID: 29962288
[TBL] [Abstract][Full Text] [Related]
2. Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple features.
Huang Y; Chen J
Stat Med; 2016 Dec; 35(30):5666-5685. PubMed ID: 27592848
[TBL] [Abstract][Full Text] [Related]
3. Quantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort study.
Zhang H; Huang Y
Lifetime Data Anal; 2020 Apr; 26(2):339-368. PubMed ID: 31140028
[TBL] [Abstract][Full Text] [Related]
4. Bayesian quantile nonhomogeneous hidden Markov models.
Liu H; Song X; Tang Y; Zhang B
Stat Methods Med Res; 2021 Jan; 30(1):112-128. PubMed ID: 32726188
[TBL] [Abstract][Full Text] [Related]
5. Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington's disease.
Long JD; Mills JA
BMC Med Res Methodol; 2018 Nov; 18(1):138. PubMed ID: 30445915
[TBL] [Abstract][Full Text] [Related]
6. Bayesian quantile regression-based partially linear mixed-effects joint models for longitudinal data with multiple features.
Zhang H; Huang Y; Wang W; Chen H; Langland-Orban B
Stat Methods Med Res; 2019 Feb; 28(2):569-588. PubMed ID: 28936916
[TBL] [Abstract][Full Text] [Related]
7. Bayesian joint modeling for partially linear mixed-effects quantile regression of longitudinal and time-to-event data with limit of detection, covariate measurement errors and skewness.
Zhang H; Huang Y
J Biopharm Stat; 2021 May; 31(3):295-316. PubMed ID: 33284096
[TBL] [Abstract][Full Text] [Related]
8. Quantile regression for censored mixed-effects models with applications to HIV studies.
Lachos VH; Chen MH; Abanto-Valle CA; Azevedo CL
Stat Interface; 2015; 8(2):203-215. PubMed ID: 26753050
[TBL] [Abstract][Full Text] [Related]
9. Bayesian quantile regression for nonlinear mixed-effects joint models for longitudinal data in the presence of mismeasured covariate errors.
Huang Y; Chen J; Qiu H
J Biopharm Stat; 2017; 27(5):741-755. PubMed ID: 27936356
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A two-level copula joint model for joint analysis of longitudinal and competing risks data.
Lu X; Chekouo T; Shen H; de Leon AR
Stat Med; 2023 May; 42(12):1909-1930. PubMed ID: 37194500
[TBL] [Abstract][Full Text] [Related]
12. Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration.
Ji Y; Shi H
PLoS One; 2020; 15(10):e0241197. PubMed ID: 33104698
[TBL] [Abstract][Full Text] [Related]
13. Bayesian joint modelling of longitudinal and time to event data: a methodological review.
Alsefri M; Sudell M; García-Fiñana M; Kolamunnage-Dona R
BMC Med Res Methodol; 2020 Apr; 20(1):94. PubMed ID: 32336264
[TBL] [Abstract][Full Text] [Related]
14. Bayesian nonparametric regression analysis of data with random effects covariates from longitudinal measurements.
Ryu D; Li E; Mallick BK
Biometrics; 2011 Jun; 67(2):454-66. PubMed ID: 20880012
[TBL] [Abstract][Full Text] [Related]
15. Flexible Bayesian quantile regression for independent and clustered data.
Reich BJ; Bondell HD; Wang HJ
Biostatistics; 2010 Apr; 11(2):337-52. PubMed ID: 19948746
[TBL] [Abstract][Full Text] [Related]
16. Robust Bayesian growth curve modelling using conditional medians.
Tong X; Zhang T; Zhou J
Br J Math Stat Psychol; 2021 May; 74(2):286-312. PubMed ID: 32926414
[TBL] [Abstract][Full Text] [Related]
17. Bayesian quantile regression for censored data.
Reich BJ; Smith LB
Biometrics; 2013 Sep; 69(3):651-60. PubMed ID: 23844559
[TBL] [Abstract][Full Text] [Related]
18. Joint modeling of multiple repeated measures and survival data using multidimensional latent trait linear mixed model.
Wang J; Luo S
Stat Methods Med Res; 2019; 28(10-11):3392-3403. PubMed ID: 30306833
[TBL] [Abstract][Full Text] [Related]
19. A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects.
Huang X; Li G; Elashoff RM; Pan J
Lifetime Data Anal; 2011 Jan; 17(1):80-100. PubMed ID: 20549344
[TBL] [Abstract][Full Text] [Related]
20. Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer's disease.
Li K; Luo S
Stat Methods Med Res; 2019 Feb; 28(2):327-342. PubMed ID: 28750578
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]