108 related articles for article (PubMed ID: 28983388)
1. Estimation and inference of error-prone covariate effect in the presence of confounding variables.
Liu J; Ma Y; Zhu L; Carroll RJ
Electron J Stat; 2017; 11(1):480-501. PubMed ID: 28983388
[TBL] [Abstract][Full Text] [Related]
2. Additive Partial Linear Models with Measurement Errors.
Liang H; Thurston SW; Ruppert D; Apanasovich T; Hauser R
Biometrika; 2008; 95(3):. PubMed ID: 24198435
[TBL] [Abstract][Full Text] [Related]
3. Locally Efficient Semiparametric Estimators for Proportional Hazards Models with Measurement Error.
Xu Y; Li Y; Song X
Scand Stat Theory Appl; 2016 Jun; 43(2):558-572. PubMed ID: 27453626
[TBL] [Abstract][Full Text] [Related]
4. Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models.
Garcia TP; Ma Y
J Econom; 2017 Oct; 200(2):194-206. PubMed ID: 29200600
[TBL] [Abstract][Full Text] [Related]
5. Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach.
Bertrand A; Legrand C; Carroll RJ; De Meester C; Van Keilegom I
Polit Anal; 2017 Mar; 104(1):31-50. PubMed ID: 29151774
[TBL] [Abstract][Full Text] [Related]
6. Semiparametric regression for measurement error model with heteroscedastic error.
Li M; Ma Y; Li R
J Multivar Anal; 2019 May; 171():320-338. PubMed ID: 30799885
[TBL] [Abstract][Full Text] [Related]
7. A semiparametric method for evaluating causal effects in the presence of error-prone covariates.
Liu J; Li W
Biom J; 2021 Aug; 63(6):1202-1222. PubMed ID: 34357652
[TBL] [Abstract][Full Text] [Related]
8. Multiply robust causal inference with double-negative control adjustment for categorical unmeasured confounding.
Shi X; Miao W; Nelson JC; Tchetgen EJT
J R Stat Soc Series B Stat Methodol; 2020 Apr; 82(2):521-540. PubMed ID: 33376449
[TBL] [Abstract][Full Text] [Related]
9. Semiparametric estimation in generalized linear mixed models with auxiliary covariates: a pairwise likelihood approach.
Liu L; Xiang L
Biometrics; 2014 Dec; 70(4):910-9. PubMed ID: 25251282
[TBL] [Abstract][Full Text] [Related]
10. Estimation via corrected scores in general semiparametric regression models with error-prone covariates.
Maity A; Apanasovich TV
Electron J Stat; 2011; 5():1424-1449. PubMed ID: 22773940
[TBL] [Abstract][Full Text] [Related]
11. Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials.
Yuan S; Zhang HH; Davidian M
Stat Med; 2012 Dec; 31(29):3789-804. PubMed ID: 22733628
[TBL] [Abstract][Full Text] [Related]
12. Efficient odds ratio estimation under two-phase sampling using error-prone data from a multi-national HIV research cohort.
Lotspeich SC; Shepherd BE; Amorim GGC; Shaw PA; Tao R
Biometrics; 2022 Dec; 78(4):1674-1685. PubMed ID: 34213008
[TBL] [Abstract][Full Text] [Related]
13. Proportional Hazards Model with Covariate Measurement Error and Instrumental Variables.
Song X; Wang CY
J Am Stat Assoc; 2014 Dec; 109(504):1636-1646. PubMed ID: 25663724
[TBL] [Abstract][Full Text] [Related]
14. SIMEX and standard error estimation in semiparametric measurement error models.
Apanasovich TV; Carroll RJ; Maity A
Electron J Stat; 2009 Jan; 3():318-348. PubMed ID: 19609371
[TBL] [Abstract][Full Text] [Related]
15. Partially Linear Models with Missing Response Variables and Error-prone Covariates.
Liang H; Wang S; Carroll RJ
Biometrika; 2007 Mar; 94(1):185-198. PubMed ID: 20209027
[TBL] [Abstract][Full Text] [Related]
16. Empirical efficiency maximization: improved locally efficient covariate adjustment in randomized experiments and survival analysis.
Rubin DB; van der Laan MJ
Int J Biostat; 2008; 4(1):Article 5. PubMed ID: 19381345
[TBL] [Abstract][Full Text] [Related]
17. On semiparametric estimation of a path-specific effect in the presence of mediator-outcome confounding.
Miles BCH; Shpitser I; Kanki P; Meloni S; Tchetgen EJT
Biometrika; 2020 Mar; 107(1):159-172. PubMed ID: 33390591
[TBL] [Abstract][Full Text] [Related]
18. Analysis of error-prone survival data under additive hazards models: measurement error effects and adjustments.
Yan Y; Yi GY
Lifetime Data Anal; 2016 Jul; 22(3):321-42. PubMed ID: 26328545
[TBL] [Abstract][Full Text] [Related]
19. A semiparametric copula method for Cox models with covariate measurement error.
Kim S; Li Y; Spiegelman D
Lifetime Data Anal; 2016 Jan; 22(1):1-16. PubMed ID: 25504515
[TBL] [Abstract][Full Text] [Related]
20. Partial covariate adjusted regression.
Sentürk D; Nguyen DV
J Stat Plan Inference; 2009 Feb; 139(2):454. PubMed ID: 20126296
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
