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Items: 1 to 20 of 199

1.

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. doi: 10.1007/s10985-016-9363-2. Epub 2016 Mar 19.

2.

Calibration weighted estimation of semiparametric transformation models for two-phase sampling.

Fong Y, Gilbert P.

Stat Med. 2015 May 10;34(10):1695-707. doi: 10.1002/sim.6439. Epub 2015 Feb 4.

3.

Analysis of Generalized Semiparametric Regression Models for Cumulative Incidence Functions with Missing Covariates.

Lee U, Sun Y, Scheike TH, Gilbert PB.

Comput Stat Data Anal. 2018 Jun;122:59-79. doi: 10.1016/j.csda.2018.01.003. Epub 2018 Feb 2.

4.

Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression.

Wang CY, Dai J.

Stat Med. 2019 Jul 10;38(15):2783-2796. doi: 10.1002/sim.8141. Epub 2019 Mar 25.

PMID:
30908669
5.

Hypothesis tests for stratified mark-specific proportional hazards models with missing covariates, with application to HIV vaccine efficacy trials.

Sun Y, Qi L, Yang G, Gilbert PB.

Biom J. 2018 May;60(3):516-536. doi: 10.1002/bimj.201700002. Epub 2018 Feb 28.

6.

Estimation of Stratified Mark-Specific Proportional Hazards Models under Two-Phase Sampling with Application to HIV Vaccine Efficacy Trials.

Yang G, Sun Y, Qi L, Gilbert PB.

Stat Biosci. 2017 Jun;9(1):259-283. doi: 10.1007/s12561-016-9177-5. Epub 2016 Oct 27.

7.

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.

8.

Z-estimation and stratified samples: application to survival models.

Breslow NE, Hu J, Wellner JA.

Lifetime Data Anal. 2015 Oct;21(4):493-516. doi: 10.1007/s10985-014-9317-5. Epub 2015 Jan 15.

9.

Fitting additive hazards models for case-cohort studies: a multiple imputation approach.

Jung J, Harel O, Kang S.

Stat Med. 2016 Jul 30;35(17):2975-90. doi: 10.1002/sim.6588. Epub 2015 Jul 20.

PMID:
26194861
10.

Quantile Regression for Competing Risks Data with Missing Cause of Failure.

Sun Y, Wang HJ, Gilbert PB.

Stat Sin. 2012 Apr 1;22(2):703-728.

11.

Improving the efficiency of estimation in the additive hazards model for stratified case-cohort design with multiple diseases.

Kim S, Cai J, Couper D.

Stat Med. 2016 Jan 30;35(2):282-93. doi: 10.1002/sim.6623. Epub 2015 Aug 26.

12.
13.

Weighted likelihood method for grouped survival data in case-cohort studies with application to HIV vaccine trials.

Li Z, Gilbert P, Nan B.

Biometrics. 2008 Dec;64(4):1247-55. doi: 10.1111/j.1541-0420.2008.00998.x.

14.
15.

Statistical methods for incomplete data: Some results on model misspecification.

McIsaac M, Cook RJ.

Stat Methods Med Res. 2017 Feb;26(1):248-267. doi: 10.1177/0962280214544251. Epub 2016 Jul 11.

PMID:
25063681
16.

Reweighted estimators for additive hazard model with censoring indicators missing at random.

Chen X, Cai J.

Lifetime Data Anal. 2018 Apr;24(2):224-249. doi: 10.1007/s10985-017-9398-z. Epub 2017 Aug 1.

17.

Analysis of case-cohort designs with binary outcomes: Improving efficiency using whole-cohort auxiliary information.

Noma H, Tanaka S.

Stat Methods Med Res. 2017 Apr;26(2):691-706. doi: 10.1177/0962280214556175. Epub 2014 Oct 26. Review.

PMID:
25348675
18.

Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling.

Fu R, Gilbert PB.

Lifetime Data Anal. 2017 Jan;23(1):136-159. doi: 10.1007/s10985-016-9364-1. Epub 2016 Mar 23.

19.
20.

Influence function based variance estimation and missing data issues in case-cohort studies.

Mark SD, Katki H.

Lifetime Data Anal. 2001 Dec;7(4):331-44.

PMID:
11763542

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