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 *

95 related articles for article (PubMed ID: 26179660)

  • 1. Joint estimation of multiple disease-specific sensitivities and specificities via crossed random effects models for correlated reader-based diagnostic data: application of data cloning.
    Withanage N; de Leon AR; Rudnisky CJ
    Stat Med; 2015 Dec; 34(29):3916-28. PubMed ID: 26179660
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A likelihood approach to estimating sensitivity and specificity for binocular data: application in ophthalmology.
    de Leon AR; Guo M; Rudnisky CJ; Singh G
    Stat Med; 2007 Jul; 26(17):3300-14. PubMed ID: 17211837
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A simulation study to assess statistical methods for binary repeated measures data.
    Masaoud E; Stryhn H
    Prev Vet Med; 2010 Feb; 93(2-3):81-97. PubMed ID: 20004989
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Binocular sensitivity and specificity of screening tests in cross-sectional diagnostic studies of paired organs.
    Perera Y; Ren M; Punzalan JRB; Rudnisky CJ; de Leon AR
    Stat Med; 2017 May; 36(11):1754-1766. PubMed ID: 28192861
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods.
    Lele SR; Dennis B; Lutscher F
    Ecol Lett; 2007 Jul; 10(7):551-63. PubMed ID: 17542934
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comparison of different bivariate correlated frailty models and estimation strategies.
    Wienke A; Arbeev KG; Locatelli I; Yashin AI
    Math Biosci; 2005 Nov; 198(1):1-13. PubMed ID: 16185720
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Joint estimation of diagnostic accuracy measures for paired organs--application in ophthalmology.
    de Leon AR; Soo A; Bonzo DC; Rudnisky CJ
    Biom J; 2009 Oct; 51(5):837-50. PubMed ID: 19697307
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian estimation for performance measures of two diagnostic tests in the presence of verification bias.
    Aragon DC; Martinez EZ; Achcar JA
    J Biopharm Stat; 2010 Jul; 20(4):821-34. PubMed ID: 20496208
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Statistical models for autocorrelated count data.
    Nelson KP; Leroux BG
    Stat Med; 2006 Apr; 25(8):1413-30. PubMed ID: 16196078
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Parameter estimation of multiple item response profile model.
    Cho SJ; Partchev I; De Boeck P
    Br J Math Stat Psychol; 2012 Nov; 65(3):438-66. PubMed ID: 22070786
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants.
    Park ES; Symanski E; Han D; Spiegelman C
    Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):51-113. PubMed ID: 26333239
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian adjustment for covariate measurement errors: a flexible parametric approach.
    Hossain S; Gustafson P
    Stat Med; 2009 May; 28(11):1580-600. PubMed ID: 19226564
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Longitudinal and repeated cross-sectional cluster-randomization designs using mixed effects regression for binary outcomes: bias and coverage of frequentist and Bayesian methods.
    Localio AR; Berlin JA; Have TR
    Stat Med; 2006 Aug; 25(16):2720-36. PubMed ID: 16345043
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes.
    Neelon B; Anthopolos R; Miranda ML
    Stat Methods Med Res; 2014 Apr; 23(2):119-33. PubMed ID: 22599322
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Binary regression with misclassified response and covariate subject to measurement error: a bayesian approach.
    McGlothlin A; Stamey JD; Seaman JW
    Biom J; 2008 Feb; 50(1):123-34. PubMed ID: 18283683
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian analysis of prevalence with covariates using simulation-based techniques: applications to HIV screening.
    Tu XM; Kowalski J; Jia G
    Stat Med; 1999 Nov; 18(22):3059-73. PubMed ID: 10544306
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian random-effects threshold regression with application to survival data with nonproportional hazards.
    Pennell ML; Whitmore GA; Ting Lee ML
    Biostatistics; 2010 Jan; 11(1):111-26. PubMed ID: 19828558
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Species delimitation using Bayes factors: simulations and application to the Sceloporus scalaris species group (Squamata: Phrynosomatidae).
    Grummer JA; Bryson RW; Reeder TW
    Syst Biol; 2014 Mar; 63(2):119-33. PubMed ID: 24262383
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MCMC estimation for the p(2) network regression model with crossed random effects.
    Zijlstra BJ; van Duijn MA; Snijders TA
    Br J Math Stat Psychol; 2009 Feb; 62(Pt 1):143-66. PubMed ID: 19208289
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneous.
    Kolaczkowski B; Thornton JW
    Nature; 2004 Oct; 431(7011):980-4. PubMed ID: 15496922
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.