BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 35764592)

  • 1. Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type.
    Ma H; Pang W; Sun L; Xu W
    Stat Med; 2022 Sep; 41(22):4285-4298. PubMed ID: 35764592
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generalized accelerated recurrence time model for multivariate recurrent event data with missing event type.
    Ma H; Peng L; Zhang Z; Lai HJ
    Biometrics; 2018 Sep; 74(3):954-965. PubMed ID: 29427311
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Weighted Estimating Equations for Additive Hazards Models with Missing Covariates.
    Qi L; Zhang X; Sun Y; Wang L; Zhao Y
    Ann Inst Stat Math; 2019 Apr; 71(2):365-387. PubMed ID: 31530958
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Generalized mean residual life models for survival data with missing censoring indicators.
    Li W; Ma H; Faraggi D; Dinse GE
    Stat Med; 2023 Feb; 42(3):264-280. PubMed ID: 36437483
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Additive-multiplicative rates model for recurrent events.
    Liu Y; Wu Y; Cai J; Zhou H
    Lifetime Data Anal; 2010 Jul; 16(3):353-73. PubMed ID: 20229314
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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. PubMed ID: 28766089
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A calibrated Bayesian method for the stratified proportional hazards model with missing covariates.
    Kim S; Kim JK; Ahn KW
    Lifetime Data Anal; 2022 Apr; 28(2):169-193. PubMed ID: 35034213
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Causal inference for recurrent event data using pseudo-observations.
    Su CL; Platt RW; Plante JF
    Biostatistics; 2022 Jan; 23(1):189-206. PubMed ID: 32432686
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure.
    Qiu Z; Wan ATK; Zhou Y; Gilbert PB
    Stat Sin; 2019 Jan; 29(1):23-46. PubMed ID: 30740005
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semiparametric regression for the weighted composite endpoint of recurrent and terminal events.
    Mao L; Lin DY
    Biostatistics; 2016 Apr; 17(2):390-403. PubMed ID: 26668069
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semiparametric estimation of the proportional rates model for recurrent events data with missing event category.
    Lin FC; Cai J; Fine JP; Dellon EP; Esther CR
    Stat Methods Med Res; 2021 Jul; 30(7):1624-1639. PubMed ID: 34142905
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events.
    Sun X; Ding J; Sun L
    Lifetime Data Anal; 2020 Jul; 26(3):471-492. PubMed ID: 31549283
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nonparametric analysis of competing risks data with event category missing at random.
    Gouskova NA; Lin FC; Fine JP
    Biometrics; 2017 Mar; 73(1):104-113. PubMed ID: 27276276
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Quantile regression models for survival data with missing censoring indicators.
    Qiu Z; Ma H; Chen J; Dinse GE
    Stat Methods Med Res; 2021 May; 30(5):1320-1331. PubMed ID: 33826461
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Proportional hazards model for competing risks data with missing cause of failure.
    Hyun S; Lee J; Sun Y
    J Stat Plan Inference; 2012 Jul; 142(7):1767-1779. PubMed ID: 22468017
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Additive hazards regression with censoring indicators missing at random.
    Song X; Sun L; Mu X; Dinse GE
    Can J Stat; 2010 Sep; 38(3):333-351. PubMed ID: 21197117
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.