BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 28281895)

  • 1. Randomization-based adjustment of multiple treatment hazard ratios for covariates with missing data.
    Lam D; Koch GG; Preisser JS; Saville BR; Hussey MA
    J Biopharm Stat; 2017; 27(3):373-386. PubMed ID: 28281895
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment.
    Zhao Y; Saville BR; Zhou H; Koch GG
    J Biopharm Stat; 2016; 26(2):269-79. PubMed ID: 25635808
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sensitivity analysis for missing dichotomous outcome data in multi-visit randomized clinical trial with randomization-based covariance adjustment.
    Li S; Koch GG; Preisser JS; Lam D; Sanchez-Kam M
    J Biopharm Stat; 2017; 27(3):387-398. PubMed ID: 28281937
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating covariate-adjusted log hazard ratios in randomized clinical trials using cox proportional hazards models and nonparametric randomization based analysis of covariance.
    Saville BR; Koch GG
    J Biopharm Stat; 2013 Mar; 23(2):477-90. PubMed ID: 23437952
    [TBL] [Abstract][Full Text] [Related]  

  • 5. On exact randomization-based covariate-adjusted confidence intervals.
    Fiksel J
    Biometrics; 2024 Mar; 80(2):. PubMed ID: 38837900
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Nonparametric randomization-based covariate adjustment for stratified analysis of time-to-event or dichotomous outcomes.
    Hussey MA; Koch GG; Preisser JS; Saville BR
    J Biopharm Stat; 2016; 26(3):579-89. PubMed ID: 26101805
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonparametric covariate adjustment in estimating hazard ratios.
    Jiang H; Kulkarni PM; Wang Y; Mallinckrodt CH
    Pharm Stat; 2016; 15(1):46-53. PubMed ID: 26610282
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Imputation of missing covariate in randomized controlled trials with a continuous outcome: Scoping review and new results.
    Kayembe MT; Jolani S; Tan FES; van Breukelen GJP
    Pharm Stat; 2020 Nov; 19(6):840-860. PubMed ID: 32510791
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validity of tests under covariate-adaptive biased coin randomization and generalized linear models.
    Shao J; Yu X
    Biometrics; 2013 Dec; 69(4):960-9. PubMed ID: 23848580
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dealing with missing outcome data in randomized trials and observational studies.
    Groenwold RH; Donders AR; Roes KC; Harrell FE; Moons KG
    Am J Epidemiol; 2012 Feb; 175(3):210-7. PubMed ID: 22262640
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Imputation of Missing Covariates in Randomized Controlled Trials with Continuous Outcomes: Simple, Unbiased and Efficient Methods.
    Kayembe MT; Jolani S; Tan FES; van Breukelen GJP
    J Biopharm Stat; 2022 Sep; 32(5):717-739. PubMed ID: 35041565
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Covariate adjustment in randomized clinical trials with missing covariate and outcome data.
    Chang CR; Song Y; Li F; Wang R
    Stat Med; 2023 Sep; 42(22):3919-3935. PubMed ID: 37394874
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Restricted mean survival time: Does covariate adjustment improve precision in randomized clinical trials?
    Karrison T; Kocherginsky M
    Clin Trials; 2018 Apr; 15(2):178-188. PubMed ID: 29502444
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Randomized controlled trials with time-to-event outcomes: how much does prespecified covariate adjustment increase power?
    Hernández AV; Eijkemans MJ; Steyerberg EW
    Ann Epidemiol; 2006 Jan; 16(1):41-8. PubMed ID: 16275011
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The impact of covariate adjustment at randomization and analysis for binary outcomes: understanding differences between superiority and noninferiority trials.
    Nicholas K; Yeatts SD; Zhao W; Ciolino J; Borg K; Durkalski V
    Stat Med; 2015 May; 34(11):1834-40. PubMed ID: 25641057
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Randomization inference for balanced cluster-randomized trials.
    Raab GM; Butcher I
    Clin Trials; 2005; 2(2):130-40. PubMed ID: 16279135
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies.
    Kahan BC; Jairath V; Doré CJ; Morris TP
    Trials; 2014 Apr; 15():139. PubMed ID: 24755011
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation.
    Falcaro M; Nur U; Rachet B; Carpenter JR
    Epidemiology; 2015 May; 26(3):421-8. PubMed ID: 25774607
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.
    Qu Y; Lipkovich I
    Stat Med; 2009 Apr; 28(9):1402-14. PubMed ID: 19222021
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates.
    Yang X; Zhou Y
    Stat Med; 2017 May; 36(11):1683-1695. PubMed ID: 28183157
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.