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 *

90 related articles for article (PubMed ID: 30686848)

  • 41. Improved methods for the marginal analysis of longitudinal data in the presence of time-dependent covariates.
    Chen IC; Westgate PM
    Stat Med; 2017 Jul; 36(16):2533-2546. PubMed ID: 28436045
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Inference in Functional Linear Quantile Regression.
    Li M; Wang K; Maity A; Staicu AM
    J Multivar Anal; 2022 Jul; 190():. PubMed ID: 35370319
    [TBL] [Abstract][Full Text] [Related]  

  • 43. CDF-quantile distributions for modelling random variables on the unit interval.
    Smithson M; Shou Y
    Br J Math Stat Psychol; 2017 Nov; 70(3):412-438. PubMed ID: 28306155
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Generalised M-quantile random-effects model for discrete response: An application to the number of visits to physicians.
    Schirripa Spagnolo F; Mauro V; Salvati N
    Biom J; 2021 Apr; 63(4):859-874. PubMed ID: 33555041
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Fruit and vegetable consumption and body mass index: a quantile regression approach.
    Azagba S; Sharaf MF
    J Prim Care Community Health; 2012 Jul; 3(3):210-20. PubMed ID: 23803782
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Empirical Likelihood in Nonignorable Covariate-Missing Data Problems.
    Xie Y; Zhang B
    Int J Biostat; 2017 Apr; 13(1):. PubMed ID: 28441139
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Quantile regression for longitudinal data using the asymmetric Laplace distribution.
    Geraci M; Bottai M
    Biostatistics; 2007 Jan; 8(1):140-54. PubMed ID: 16636139
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Comparing least-squares and quantile regression approaches to analyzing median hospital charges.
    Olsen CS; Clark AE; Thomas AM; Cook LJ
    Acad Emerg Med; 2012 Jul; 19(7):866-75. PubMed ID: 22805633
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Robust analysis of secondary phenotypes in case-control genetic association studies.
    Xing C; M McCarthy J; Dupuis J; Adrienne Cupples L; B Meigs J; Lin X; S Allen A
    Stat Med; 2016 Oct; 35(23):4226-37. PubMed ID: 27241694
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Regression analysis with missing covariate data using estimating equations.
    Zhao LP; Lipsitz S; Lew D
    Biometrics; 1996 Dec; 52(4):1165-82. PubMed ID: 8962448
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Reference values obtained by kernel-based estimation of quantile regressions.
    Ducharme GR; Gannoun A; Guertin MC; Jéquier JC
    Biometrics; 1995 Sep; 51(3):1105-16. PubMed ID: 7548694
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits.
    He Q; Kong L; Wang Y; Wang S; Chan TA; Holland E
    Comput Stat Data Anal; 2016 Mar; 95():222-239. PubMed ID: 28133403
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Continuous covariates in genetic association studies of case-parent triads: gene and gene-environment interaction effects, population stratification, and power analysis.
    Lim S; Beyene J; Greenwood CM
    Stat Appl Genet Mol Biol; 2005; 4():Article20. PubMed ID: 16646838
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Disease mapping via negative binomial regression M-quantiles.
    Chambers R; Dreassi E; Salvati N
    Stat Med; 2014 Nov; 33(27):4805-24. PubMed ID: 25042758
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A quantile regression model for failure-time data with time-dependent covariates.
    Gorfine M; Goldberg Y; Ritov Y
    Biostatistics; 2017 Jan; 18(1):132-146. PubMed ID: 27485534
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Boosting structured additive quantile regression for longitudinal childhood obesity data.
    Fenske N; Fahrmeir L; Hothorn T; Rzehak P; Höhle M
    Int J Biostat; 2013 Jul; 9(1):. PubMed ID: 23893691
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Quantile regression analyses of associated factors for body mass index in Korean adolescents.
    Kim TH; Lee EK; Han E
    Public Health; 2015 May; 129(5):424-35. PubMed ID: 25753281
    [TBL] [Abstract][Full Text] [Related]  

  • 58. On measures of agreement calculated from contingency tables with categories defined by the empirical quantiles of the marginal distributions.
    Borkowf CB; Gail MH
    Am J Epidemiol; 1997 Sep; 146(6):520-6. PubMed ID: 9290513
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Breastfeeding and childhood obesity: shift of the entire BMI distribution or only the upper parts?
    Beyerlein A; Toschke AM; von Kries R
    Obesity (Silver Spring); 2008 Dec; 16(12):2730-3. PubMed ID: 18846050
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Quantile regression methods for reference growth charts.
    Wei Y; Pere A; Koenker R; He X
    Stat Med; 2006 Apr; 25(8):1369-82. PubMed ID: 16143984
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.