156 related articles for article (PubMed ID: 33169428)
1. Subgroup analysis in the heterogeneous Cox model.
Hu X; Huang J; Liu L; Sun D; Zhao X
Stat Med; 2021 Feb; 40(3):739-757. PubMed ID: 33169428
[TBL] [Abstract][Full Text] [Related]
2. Exploration of Heterogeneous Treatment Effects via Concave Fusion.
Ma S; Huang J; Zhang Z; Liu M
Int J Biostat; 2019 Sep; 16(1):. PubMed ID: 31541601
[TBL] [Abstract][Full Text] [Related]
3. Adaptive lasso for the Cox regression with interval censored and possibly left truncated data.
Li C; Pak D; Todem D
Stat Methods Med Res; 2020 Apr; 29(4):1243-1255. PubMed ID: 31203741
[TBL] [Abstract][Full Text] [Related]
4. Synthesizing external aggregated information in the penalized Cox regression under population heterogeneity.
Sheng Y; Sun Y; Huang CY; Kim MO
Stat Med; 2021 Oct; 40(23):4915-4930. PubMed ID: 34134178
[TBL] [Abstract][Full Text] [Related]
5. Sieve estimation of Cox models with latent structures.
Cao Y; Huang J; Liu Y; Zhao X
Biometrics; 2016 Dec; 72(4):1086-1097. PubMed ID: 27385420
[TBL] [Abstract][Full Text] [Related]
6. Proportional hazard model estimation under dependent censoring using copulas and penalized likelihood.
Xu J; Ma J; Connors MH; Brodaty H
Stat Med; 2018 Jun; 37(14):2238-2251. PubMed ID: 29579781
[TBL] [Abstract][Full Text] [Related]
7. Multi-threshold proportional hazards model and subgroup identification.
Wang B; Li J; Wang X
Stat Med; 2022 Dec; 41(29):5715-5737. PubMed ID: 36198478
[TBL] [Abstract][Full Text] [Related]
8. A pairwise likelihood augmented Cox estimator for left-truncated data.
Wu F; Kim S; Qin J; Saran R; Li Y
Biometrics; 2018 Mar; 74(1):100-108. PubMed ID: 28853158
[TBL] [Abstract][Full Text] [Related]
9. A unified approach to variable selection for Cox's proportional hazards model with interval-censored failure time data.
Du M; Zhao H; Sun J
Stat Methods Med Res; 2021 Aug; 30(8):1833-1849. PubMed ID: 34232833
[TBL] [Abstract][Full Text] [Related]
10. On hazard-based penalized likelihood estimation of accelerated failure time model with partly interval censoring.
Li J; Ma J
Stat Methods Med Res; 2020 Dec; 29(12):3804-3817. PubMed ID: 32689908
[TBL] [Abstract][Full Text] [Related]
11. Group variable selection for the Cox model with interval-censored failure time data.
Wu Y; Zhao H; Sun J
Biometrics; 2023 Dec; 79(4):3082-3095. PubMed ID: 37211860
[TBL] [Abstract][Full Text] [Related]
12. Identification of homogeneous and heterogeneous variables in pooled cohort studies.
Cheng X; Lu W; Liu M
Biometrics; 2015 Jun; 71(2):397-403. PubMed ID: 25732747
[TBL] [Abstract][Full Text] [Related]
13. Sparse estimation of Cox proportional hazards models via approximated information criteria.
Su X; Wijayasinghe CS; Fan J; Zhang Y
Biometrics; 2016 Sep; 72(3):751-9. PubMed ID: 26873398
[TBL] [Abstract][Full Text] [Related]
14. Penalized full likelihood approach to variable selection for Cox's regression model under nested case-control sampling.
Wang JH; Pan CH; Chang IS; Hsiung CA
Lifetime Data Anal; 2020 Apr; 26(2):292-314. PubMed ID: 31065967
[TBL] [Abstract][Full Text] [Related]
15. Robust analysis of cancer heterogeneity for high-dimensional data.
Cheng C; Feng X; Li X; Wu M
Stat Med; 2022 Nov; 41(27):5448-5462. PubMed ID: 36117143
[TBL] [Abstract][Full Text] [Related]
16. Penalized partial likelihood inference of proportional hazards latent trait models.
Kang HA
Br J Math Stat Psychol; 2017 May; 70(2):187-208. PubMed ID: 27958648
[TBL] [Abstract][Full Text] [Related]
17. Scalable algorithms for semiparametric accelerated failure time models in high dimensions.
Suder PM; Molstad AJ
Stat Med; 2022 Mar; 41(6):933-949. PubMed ID: 35014701
[TBL] [Abstract][Full Text] [Related]
18. A single-index threshold Cox proportional hazard model for identifying a treatment-sensitive subset based on multiple biomarkers.
He Y; Lin H; Tu D
Stat Med; 2018 Oct; 37(23):3267-3279. PubMed ID: 29869381
[TBL] [Abstract][Full Text] [Related]
19. L1 penalized estimation in the Cox proportional hazards model.
Goeman JJ
Biom J; 2010 Feb; 52(1):70-84. PubMed ID: 19937997
[TBL] [Abstract][Full Text] [Related]
20. Weighted Cox regression for the prediction of heterogeneous patient subgroups.
Madjar K; Rahnenführer J
BMC Med Inform Decis Mak; 2021 Dec; 21(1):342. PubMed ID: 34876106
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
