These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

122 related articles for article (PubMed ID: 19381352)

  • 1. Nonparametric variance estimation in the analysis of microarray data: a measurement error approach.
    Carroll RJ; Wang Y
    Biometrika; 2008; 95(2):437-449. PubMed ID: 19381352
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SIMEX and standard error estimation in semiparametric measurement error models.
    Apanasovich TV; Carroll RJ; Maity A
    Electron J Stat; 2009 Jan; 3():318-348. PubMed ID: 19609371
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Simulation-Extrapolation with Latent Heteroskedastic Error Variance.
    Lockwood JR; McCaffrey DF
    Psychometrika; 2017 Mar; ():. PubMed ID: 28397085
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Flexible parametric approach to classical measurement error variance estimation without auxiliary data.
    Bertrand A; Van Keilegom I; Legrand C
    Biometrics; 2019 Mar; 75(1):297-307. PubMed ID: 30076713
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Additive Partial Linear Models with Measurement Errors.
    Liang H; Thurston SW; Ruppert D; Apanasovich T; Hauser R
    Biometrika; 2008; 95(3):. PubMed ID: 24198435
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Segmented regression with errors in predictors: semi-parametric and parametric methods.
    Küchenhoff H; Carroll RJ
    Stat Med; 1997 Jan 15-Feb 15; 16(1-3):169-88. PubMed ID: 9004390
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Correcting for Measurement Error in Time-Varying Covariates in Marginal Structural Models.
    Kyle RP; Moodie EE; Klein MB; Abrahamowicz M
    Am J Epidemiol; 2016 Aug; 184(3):249-58. PubMed ID: 27416840
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simulation-selection-extrapolation: Estimation in high-dimensional errors-in-variables models.
    Nghiem L; Potgieter C
    Biometrics; 2019 Dec; 75(4):1133-1144. PubMed ID: 31260084
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A doubly robust estimator for the average treatment effect in the context of a mean-reverting measurement error.
    Lenis D; Ebnesajjad CF; Stuart EA
    Biostatistics; 2017 Apr; 18(2):325-337. PubMed ID: 27993763
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies.
    Guolo A
    BMC Med Res Methodol; 2017 Jan; 17(1):6. PubMed ID: 28077079
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Variance estimation in the analysis of microarray data.
    Wang Y; Ma Y; Carroll RJ
    J R Stat Soc Series B Stat Methodol; 2009 Apr; 71(2):425-445. PubMed ID: 19750023
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Empirical single sample quantification of bias and variance in Q-ball imaging.
    Hainline AE; Nath V; Parvathaneni P; Blaber JA; Schilling KG; Anderson AW; Kang H; Landman BA
    Magn Reson Med; 2018 Oct; 80(4):1666-1675. PubMed ID: 29411435
    [TBL] [Abstract][Full Text] [Related]  

  • 13. SIMEX variance component tests in generalized linear mixed measurement error models.
    Lin X; Carroll RJ
    Biometrics; 1999 Jun; 55(2):613-9. PubMed ID: 11318223
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The SIMEX approach to measurement error correction in meta-analysis with baseline risk as covariate.
    Guolo A
    Stat Med; 2014 May; 33(12):2062-76. PubMed ID: 24339017
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The number needed to treat (NNT) can be adjusted for bias when the outcome is measured with error.
    Marschner IC; Emberson J; Irwig L; Walter SD
    J Clin Epidemiol; 2004 Dec; 57(12):1244-52. PubMed ID: 15617950
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Monte Carlo methods for nonparametric regression with heteroscedastic measurement error.
    McIntyre J; Johnson BA; Rappaport SM
    Biometrics; 2018 Jun; 74(2):498-505. PubMed ID: 28914966
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation in capture-recapture models when covariates are subject to measurement errors.
    Hwang WH; Huang SY
    Biometrics; 2003 Dec; 59(4):1113-22. PubMed ID: 14969492
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimating smooth distribution function in the presence of heteroscedastic measurement errors.
    Wang XF; Fan Z; Wang B
    Comput Stat Data Anal; 2010 Jan; 54(1):25-36. PubMed ID: 20160998
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SIMEX for correction of dietary exposure effects with Box-Cox transformed data.
    Intemann T; Mehlig K; De Henauw S; Siani A; Constantinou T; Moreno LA; Molnár D; Veidebaum T; Pigeot I;
    Biom J; 2020 Jan; 62(1):221-237. PubMed ID: 31702826
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Regression with covariates and outcome calculated from a common set of variables measured with error: estimation using the SIMEX method.
    Holcomb JP
    Stat Med; 1999 Nov; 18(21):2847-62. PubMed ID: 10523746
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.