165 related articles for article (PubMed ID: 26900543)
1. Missing data approaches for probability regression models with missing outcomes with applications.
Qi L; Sun Y
J Stat Distrib Appl; 2014; 1():. PubMed ID: 26900543
[TBL] [Abstract][Full Text] [Related]
2. Model misspecification and bias for inverse probability weighting estimators of average causal effects.
Waernbaum I; Pazzagli L
Biom J; 2023 Feb; 65(2):e2100118. PubMed ID: 36045099
[TBL] [Abstract][Full Text] [Related]
3. Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations.
Wang L; Rotnitzky A; Lin X
J Am Stat Assoc; 2010 Sep; 105(491):1135-1146. PubMed ID: 23144520
[TBL] [Abstract][Full Text] [Related]
4. Augmented Inverse Probability Weighting and the Double Robustness Property.
Kurz CF
Med Decis Making; 2022 Feb; 42(2):156-167. PubMed ID: 34225519
[TBL] [Abstract][Full Text] [Related]
5. Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression.
Wang CY; Dai J
Stat Med; 2019 Jul; 38(15):2783-2796. PubMed ID: 30908669
[TBL] [Abstract][Full Text] [Related]
6. Estimation in optimal treatment regimes based on mean residual lifetimes with right-censored data.
Liu Z; Zhan Z; Lin C; Zhang B
Biom J; 2023 Dec; 65(8):e2200340. PubMed ID: 37789592
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes.
Heng F; Sun Y; Hyun S; Gilbert PB
Lifetime Data Anal; 2020 Oct; 26(4):731-760. PubMed ID: 32274677
[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. Evaluation of predictive model performance of an existing model in the presence of missing data.
Li P; Taylor JMG; Spratt DE; Karnes RJ; Schipper MJ
Stat Med; 2021 Jul; 40(15):3477-3498. PubMed ID: 33843085
[TBL] [Abstract][Full Text] [Related]
11. Estimation of conditional cumulative incidence functions under generalized semiparametric regression models with missing covariates, with application to analysis of biomarker correlates in vaccine trials.
Sun Y; Heng F; Lee U; Gilbert PB
Can J Stat; 2023 Mar; 51(1):235-257. PubMed ID: 36937899
[TBL] [Abstract][Full Text] [Related]
12. Doubly robust estimators of causal exposure effects with missing data in the outcome, exposure or a confounder.
Williamson EJ; Forbes A; Wolfe R
Stat Med; 2012 Dec; 31(30):4382-400. PubMed ID: 23086504
[TBL] [Abstract][Full Text] [Related]
13. Robust best linear weighted estimator with missing covariates in survival analysis.
Wang CY; Hsu L; Harrison T
Stat Med; 2024 Apr; 43(9):1790-1803. PubMed ID: 38402690
[TBL] [Abstract][Full Text] [Related]
14. Multinomial logistic regression with missing outcome data: An application to cancer subtypes.
Wang CY; Hsu L
Stat Med; 2020 Oct; 39(24):3299-3312. PubMed ID: 32628308
[TBL] [Abstract][Full Text] [Related]
15. Assessing the accuracy of predictive models with interval-censored data.
Wu Y; Cook RJ
Biostatistics; 2022 Jan; 23(1):18-33. PubMed ID: 32170939
[TBL] [Abstract][Full Text] [Related]
16. Estimation of Stratified Mark-Specific Proportional Hazards Models with Missing Marks.
Sun Y; Gilbert PB
Scand Stat Theory Appl; 2012 Mar; 39(1):34-52. PubMed ID: 23519918
[TBL] [Abstract][Full Text] [Related]
17. Analysis of two-phase sampling data with semiparametric additive hazards models.
Sun Y; Qian X; Shou Q; Gilbert PB
Lifetime Data Anal; 2017 Jul; 23(3):377-399. PubMed ID: 26995733
[TBL] [Abstract][Full Text] [Related]
18. Leveraging auxiliary data to improve precision in inverse probability-weighted analyses.
Zalla LC; Yang JY; Edwards JK; Cole SR
Ann Epidemiol; 2022 Oct; 74():75-83. PubMed ID: 35940394
[TBL] [Abstract][Full Text] [Related]
19. Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types.
Park J; Bakoyannis G; Zhang Y; Yiannoutsos CT
Biostatistics; 2022 Jul; 23(3):738-753. PubMed ID: 33417707
[TBL] [Abstract][Full Text] [Related]
20. On Inverse Probability Weighting for Nonmonotone Missing at Random Data.
Sun B; Tchetgen Tchetgen EJ
J Am Stat Assoc; 2018; 113(521):369-379. PubMed ID: 30034062
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
