208 related articles for article (PubMed ID: 31359443)
21. Variable selection with group structure in competing risks quantile regression.
Ahn KW; Kim S
Stat Med; 2018 Apr; 37(9):1577-1586. PubMed ID: 29468710
[TBL] [Abstract][Full Text] [Related]
22. Cause-specific quantile regression on inactivity time.
Jia Y; Jeong JH
Stat Med; 2021 Mar; 40(7):1811-1824. PubMed ID: 33410170
[TBL] [Abstract][Full Text] [Related]
23. Penalized variable selection for cause-specific hazard frailty models with clustered competing-risks data.
Rakhmawati TW; Ha ID; Lee H; Lee Y
Stat Med; 2021 Dec; 40(29):6541-6557. PubMed ID: 34541690
[TBL] [Abstract][Full Text] [Related]
24. Quantile regression for recurrent gap time data.
Luo X; Huang CY; Wang L
Biometrics; 2013 Jun; 69(2):375-85. PubMed ID: 23489055
[TBL] [Abstract][Full Text] [Related]
25. Smoothed quantile regression for partially functional linear models in high dimensions.
Wang Z; Bai Y; Härdle WK; Tian M
Biom J; 2023 Oct; 65(7):e2200060. PubMed ID: 37147793
[TBL] [Abstract][Full Text] [Related]
26. The number of primary events per variable affects estimation of the subdistribution hazard competing risks model.
Austin PC; Allignol A; Fine JP
J Clin Epidemiol; 2017 Mar; 83():75-84. PubMed ID: 28088594
[TBL] [Abstract][Full Text] [Related]
27. Competing risks regression for stratified data.
Zhou B; Latouche A; Rocha V; Fine J
Biometrics; 2011 Jun; 67(2):661-70. PubMed ID: 21155744
[TBL] [Abstract][Full Text] [Related]
28. Hierarchical likelihood inference on clustered competing risks data.
Christian NJ; Ha ID; Jeong JH
Stat Med; 2016 Jan; 35(2):251-67. PubMed ID: 26278918
[TBL] [Abstract][Full Text] [Related]
29. Variable Selection for Partially Linear Models with Measurement Errors.
Liang H; Li R
J Am Stat Assoc; 2009; 104(485):234-248. PubMed ID: 20046976
[TBL] [Abstract][Full Text] [Related]
30. Smoothed quantile regression analysis of competing risks.
Choi S; Kang S; Huang X
Biom J; 2018 Sep; 60(5):934-946. PubMed ID: 29978507
[TBL] [Abstract][Full Text] [Related]
31. Variable selection for a mark-specific additive hazards model using the adaptive LASSO.
Han D; Qu L; Sun L; Sun Y
Stat Methods Med Res; 2021 Sep; 30(9):2017-2031. PubMed ID: 34266342
[TBL] [Abstract][Full Text] [Related]
32. Variable selection in semiparametric cure models based on penalized likelihood, with application to breast cancer clinical trials.
Liu X; Peng Y; Tu D; Liang H
Stat Med; 2012 Oct; 31(24):2882-91. PubMed ID: 22733695
[TBL] [Abstract][Full Text] [Related]
33. Checking Fine and Gray subdistribution hazards model with cumulative sums of residuals.
Li J; Scheike TH; Zhang MJ
Lifetime Data Anal; 2015 Apr; 21(2):197-217. PubMed ID: 25421251
[TBL] [Abstract][Full Text] [Related]
34. NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS.
Kai B; Li R; Zou H
Ann Stat; 2011 Feb; 39(1):305-332. PubMed ID: 21666869
[TBL] [Abstract][Full Text] [Related]
35. Efficient estimation for left-truncated competing risks regression for case-cohort studies.
Fang X; Ahn KW; Cai J; Kim S
Biometrics; 2024 Jan; 80(1):. PubMed ID: 38281769
[TBL] [Abstract][Full Text] [Related]
36. A Proportional Hazards Regression Model for the Sub-distribution with Covariates Adjusted Censoring Weight for Competing Risks Data.
He P; Eriksson F; Scheike TH; Zhang MJ
Scand Stat Theory Appl; 2016 Mar; 43(1):103-122. PubMed ID: 27034534
[TBL] [Abstract][Full Text] [Related]
37. Variable Selection in Measurement Error Models.
Ma Y; Li R
Bernoulli (Andover); 2010; 16(1):274-300. PubMed ID: 20209020
[TBL] [Abstract][Full Text] [Related]
38. The importance of censoring in competing risks analysis of the subdistribution hazard.
Donoghoe MW; Gebski V
BMC Med Res Methodol; 2017 Apr; 17(1):52. PubMed ID: 28376736
[TBL] [Abstract][Full Text] [Related]
39. Semiparametric competing risks regression under interval censoring using the R package intccr.
Park J; Bakoyannis G; Yiannoutsos CT
Comput Methods Programs Biomed; 2019 May; 173():167-176. PubMed ID: 31046992
[TBL] [Abstract][Full Text] [Related]
40. Regularized Weighted Nonparametric Likelihood Approach for High-Dimension Sparse Subdistribution Hazards Model for Competing Risk Data.
Tapak L; Kosorok MR; Sadeghifar M; Hamidi O; Afshar S; Doosti H
Comput Math Methods Med; 2021; 2021():5169052. PubMed ID: 34589136
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]