188 related articles for article (PubMed ID: 35707815)
1. Robust estimation of models for longitudinal data with dropouts and outliers.
Zhang Y; Qin G; Zhu Z; Fu B
J Appl Stat; 2022; 49(4):902-925. PubMed ID: 35707815
[TBL] [Abstract][Full Text] [Related]
2. Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts.
Lin H; Fu B; Qin G; Zhu Z
Biometrics; 2017 Dec; 73(4):1132-1139. PubMed ID: 28369661
[TBL] [Abstract][Full Text] [Related]
3. Robust estimation of partially linear models for longitudinal data with dropouts and measurement error.
Qin G; Zhang J; Zhu Z; Fung W
Stat Med; 2016 Dec; 35(29):5401-5416. PubMed ID: 27460857
[TBL] [Abstract][Full Text] [Related]
4. Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes.
Liu S; Zhang Y; Golm GT; Liu GF; Yang S
Stat Theory Relat Fields; 2024; 8(1):1-14. PubMed ID: 38800501
[TBL] [Abstract][Full Text] [Related]
5. Multiply robust subgroup analysis based on a single-index threshold linear marginal model for longitudinal data with dropouts.
Wei K; Zhu H; Qin G; Zhu Z; Tu D
Stat Med; 2022 Jul; 41(15):2822-2839. PubMed ID: 35347738
[TBL] [Abstract][Full Text] [Related]
6. Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation.
Waernbaum I
Stat Med; 2012 Jul; 31(15):1572-81. PubMed ID: 22359267
[TBL] [Abstract][Full Text] [Related]
7. Data-Adaptive Bias-Reduced Doubly Robust Estimation.
Vermeulen K; Vansteelandt S
Int J Biostat; 2016 May; 12(1):253-82. PubMed ID: 27227724
[TBL] [Abstract][Full Text] [Related]
8. A doubly robust method to handle missing multilevel outcome data with application to the China Health and Nutrition Survey.
Butera NM; Zeng D; Green Howard A; Gordon-Larsen P; Cai J
Stat Med; 2022 Feb; 41(4):769-785. PubMed ID: 34786739
[TBL] [Abstract][Full Text] [Related]
9. Doubly robust estimation and causal inference in longitudinal studies with dropout and truncation by death.
Shardell M; Hicks GE; Ferrucci L
Biostatistics; 2015 Jan; 16(1):155-68. PubMed ID: 24997309
[TBL] [Abstract][Full Text] [Related]
10. A natural robustification of the ordinary instrumental variables estimator.
Freue GV; Ortiz-Molina H; Zamar RH
Biometrics; 2013 Sep; 69(3):641-50. PubMed ID: 23865476
[TBL] [Abstract][Full Text] [Related]
11. Robust estimation for longitudinal data based upon minimum Hellinger distance.
Kang J
J Appl Stat; 2020; 47(1):150-159. PubMed ID: 35707606
[TBL] [Abstract][Full Text] [Related]
12. A new estimation with minimum trace of asymptotic covariance matrix for incomplete longitudinal data with a surrogate process.
Chen B; Qin J
Stat Med; 2013 Nov; 32(27):4763-80. PubMed ID: 23744541
[TBL] [Abstract][Full Text] [Related]
13. Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing Data.
Long Q; Hsu CH; Li Y
Stat Sin; 2012; 22():149-172. PubMed ID: 22347786
[TBL] [Abstract][Full Text] [Related]
14. Robust small area estimation for unit level model with density power divergence.
Niu X; Pang Z; Wang Z
PLoS One; 2023; 18(11):e0288639. PubMed ID: 37972010
[TBL] [Abstract][Full Text] [Related]
15. An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data.
Fu L; Yang Z; Zhou Y; Wang YG
Lifetime Data Anal; 2021 Oct; 27(4):679-709. PubMed ID: 34215947
[TBL] [Abstract][Full Text] [Related]
16. Doubly robust estimates for binary longitudinal data analysis with missing response and missing covariates.
Chen B; Zhou XH
Biometrics; 2011 Sep; 67(3):830-42. PubMed ID: 21281272
[TBL] [Abstract][Full Text] [Related]
17. Bounded influence support vector regression for robust single-model estimation.
Dufrenois F; Colliez J; Hamad D
IEEE Trans Neural Netw; 2009 Nov; 20(11):1689-706. PubMed ID: 19775962
[TBL] [Abstract][Full Text] [Related]
18. Robust approach for variable selection with high dimensional longitudinal data analysis.
Fu L; Li J; Wang YG
Stat Med; 2021 Dec; 40(30):6835-6854. PubMed ID: 34619808
[TBL] [Abstract][Full Text] [Related]
19. Robust Relative Error Estimation.
Hirose K; Masuda H
Entropy (Basel); 2018 Aug; 20(9):. PubMed ID: 33265721
[TBL] [Abstract][Full Text] [Related]
20. Quantile Regression for Competing Risks Data with Missing Cause of Failure.
Sun Y; Wang HJ; Gilbert PB
Stat Sin; 2012 Apr; 22(2):703-728. PubMed ID: 23950622
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
