BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 34898760)

  • 1. Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional Epidemiology.
    Sarkar A; Pati D; Mallick BK; Carroll RJ
    J Am Stat Assoc; 2021; 116(535):1075-1087. PubMed ID: 34898760
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fitting a bivariate measurement error model for episodically consumed dietary components.
    Zhang S; Krebs-Smith SM; Midthune D; Perez A; Buckman DW; Kipnis V; Freedman LS; Dodd KW; Carroll RJ
    Int J Biostat; 2011; 7(1):1. PubMed ID: 22848190
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian Semiparametric Multivariate Density Deconvolution.
    Sarkar A; Pati D; Chakraborty A; Mallick BK; Carroll RJ
    J Am Stat Assoc; 2018; 113(521):401-416. PubMed ID: 30078920
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors.
    Sarkar A; Mallick BK; Staudenmayer J; Pati D; Carroll RJ
    J Comput Graph Stat; 2014 Oct; 23(4):1101-1125. PubMed ID: 25378893
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Measurement error models with zero inflation and multiple sources of zeros, with applications to hard zeros.
    Bhadra A; Wei R; Keogh R; Kipnis V; Midthune D; Buckman DW; Su Y; Chowdhury AR; Carroll RJ
    Lifetime Data Anal; 2024 May; ():. PubMed ID: 38806842
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating the Distribution of Dietary Consumption Patterns.
    Carroll RJ
    Stat Sci; 2014; 29(1):2-8. PubMed ID: 25309033
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology.
    Kipnis V; Freedman LS; Carroll RJ; Midthune D
    Biometrics; 2016 Mar; 72(1):106-15. PubMed ID: 26332011
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Copula-based Markov zero-inflated count time series models with application.
    Alqawba M; Diawara N
    J Appl Stat; 2021; 48(5):786-803. PubMed ID: 35707445
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Semiparametric Estimation of the Distribution of Episodically Consumed Foods Measured With Error.
    Lemyre FC; Carroll RJ; Delaigle A
    J Am Stat Assoc; 2022; 117(537):469-481. PubMed ID: 36091664
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian clustering of multiple zero-inflated outcomes.
    Franzolini B; Cremaschi A; van den Boom W; De Iorio M
    Philos Trans A Math Phys Eng Sci; 2023 May; 381(2247):20220145. PubMed ID: 36970823
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian semiparametric copula estimation with application to psychiatric genetics.
    Rosen O; Thompson WK
    Biom J; 2015 May; 57(3):468-84. PubMed ID: 25664559
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian Gaussian Copula Factor Models for Mixed Data.
    Murray JS; Dunson DB; Carin L; Lucas JE
    J Am Stat Assoc; 2013 Jun; 108(502):656-665. PubMed ID: 23990691
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros.
    Kassahun W; Neyens T; Molenberghs G; Faes C; Verbeke G
    Stat Med; 2014 Nov; 33(25):4402-19. PubMed ID: 24957791
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data.
    Baghfalaki T; Ganjali M
    Stat Methods Med Res; 2021 Jun; 30(6):1484-1501. PubMed ID: 33872092
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A zero-augmented generalized gamma regression calibration to adjust for covariate measurement error: A case of an episodically consumed dietary intake.
    Agogo GO
    Biom J; 2017 Jan; 59(1):94-109. PubMed ID: 27704599
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pair copula construction for longitudinal data with zero-inflated power series marginal distributions.
    Sefidi S; Ganjali M; Baghfalaki T
    J Biopharm Stat; 2021 Mar; 31(2):233-249. PubMed ID: 33104407
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data.
    Lee KH; Coull BA; Moscicki AB; Paster BJ; Starr JR
    Biostatistics; 2020 Jul; 21(3):499-517. PubMed ID: 30590511
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A NEW MULTIVARIATE MEASUREMENT ERROR MODEL WITH ZERO-INFLATED DIETARY DATA, AND ITS APPLICATION TO DIETARY ASSESSMENT.
    Zhang S; Midthune D; Guenther PM; Krebs-Smith SM; Kipnis V; Dodd KW; Buckman DW; Tooze JA; Freedman L; Carroll RJ
    Ann Appl Stat; 2011 Jun; 5(2B):1456-1487. PubMed ID: 21804910
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian bivariate survival analysis using the power variance function copula.
    Romeo JS; Meyer R; Gallardo DI
    Lifetime Data Anal; 2018 Apr; 24(2):355-383. PubMed ID: 28536818
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A semiparametric Bayesian model for detecting synchrony among multiple neurons.
    Shahbaba B; Zhou B; Lan S; Ombao H; Moorman D; Behseta S
    Neural Comput; 2014 Sep; 26(9):2025-51. PubMed ID: 24922500
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.