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 *

332 related articles for article (PubMed ID: 18183883)

  • 21. Can we make smart choices between OLS and contaminated IV methods?
    Basu A; Chan KC
    Health Econ; 2014 Apr; 23(4):462-72. PubMed ID: 23765683
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?
    Mumford JA
    Neuroimage; 2017 Feb; 147():658-668. PubMed ID: 28030782
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Dose-response modeling in mental health using stein-like estimators with instrumental variables.
    Ginestet CE; Emsley R; Landau S
    Stat Med; 2017 May; 36(11):1696-1714. PubMed ID: 28222485
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Fast function-on-scalar regression with penalized basis expansions.
    Reiss PT; Huang L; Mennes M
    Int J Biostat; 2010; 6(1):Article 28. PubMed ID: 21969982
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Equivalent source estimation of scalp potential fields contaminated by heteroscedastic and correlated noise.
    Huizenga HM; Molenaar PC
    Brain Topogr; 1995; 8(1):13-33. PubMed ID: 8829387
    [TBL] [Abstract][Full Text] [Related]  

  • 26. The analysis of count data: a gentle introduction to poisson regression and its alternatives.
    Coxe S; West SG; Aiken LS
    J Pers Assess; 2009 Mar; 91(2):121-36. PubMed ID: 19205933
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Analyzing pre-post randomized studies with one post-randomization score using repeated measures and ANCOVA models.
    Wan F
    Stat Methods Med Res; 2019; 28(10-11):2952-2974. PubMed ID: 30084297
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Empirical Bayes estimation of gene-specific effects in micro-array research.
    Edwards JW; Page GP; Gadbury G; Heo M; Kayo T; Weindruch R; Allison DB
    Funct Integr Genomics; 2005 Jan; 5(1):32-9. PubMed ID: 15455262
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Underestimation of uncertainties in health utilities derived from mapping algorithms involving health-related quality-of-life measures: statistical explanations and potential remedies.
    Chan KK; Willan AR; Gupta M; Pullenayegum E
    Med Decis Making; 2014 Oct; 34(7):863-72. PubMed ID: 24407513
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Statistical properties of the ordinary least-squares, generalized least-squares, and minimum-evolution methods of phylogenetic inference.
    Rzhetsky A; Nei M
    J Mol Evol; 1992 Oct; 35(4):367-75. PubMed ID: 1404422
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model.
    Lukman AF; Ayinde K; Golam Kibria BM; Jegede SL
    ScientificWorldJournal; 2020; 2020():3192852. PubMed ID: 32508537
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Wavelet-generalized least squares: a new BLU estimator of linear regression models with 1/f errors.
    Fadili MJ; Bullmore ET
    Neuroimage; 2002 Jan; 15(1):217-32. PubMed ID: 11771991
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Application of the bootstrap procedure provides an alternative to standard statistical procedures in the estimation of the vitamin B-6 requirement.
    Hansen CM; Evans MA; Shultz TD
    J Nutr; 1999 Oct; 129(10):1915-9. PubMed ID: 10498768
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Small-sample performance and underlying assumptions of a bootstrap-based inference method for a general analysis of covariance model with possibly heteroskedastic and nonnormal errors.
    Zimmermann G; Pauly M; Bathke AC
    Stat Methods Med Res; 2019 Dec; 28(12):3808-3821. PubMed ID: 30600769
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A bias correction for covariance estimators to improve inference with generalized estimating equations that use an unstructured correlation matrix.
    Westgate PM
    Stat Med; 2013 Jul; 32(16):2850-8. PubMed ID: 23255154
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparing the accuracy of experimental estimates to guessing: a new perspective on replication and the "Crisis of Confidence" in psychology.
    Davis-Stober CP; Dana J
    Behav Res Methods; 2014 Mar; 46(1):1-14. PubMed ID: 23661222
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Graphical evaluation of the ridge-type robust regression estimators in mixture experiments.
    Erkoc A; Emiroglu E; Akay KU
    ScientificWorldJournal; 2014; 2014():806471. PubMed ID: 25202738
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Evaluation of dominance-based ordinal multiple regression for variables with few categories.
    Woods CM
    Br J Math Stat Psychol; 2013 Feb; 66(1):169-88. PubMed ID: 22548326
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Covariance estimators for generalized estimating equations (GEE) in longitudinal analysis with small samples.
    Wang M; Kong L; Li Z; Zhang L
    Stat Med; 2016 May; 35(10):1706-21. PubMed ID: 26585756
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Reprint of 'A Comprehensive review of group level model performance in the presence of heteroscedasticity: Can a single model control Type I errors in the presence of outliers?'.
    Mumford JA
    Neuroimage; 2017 Jul; 154():219-229. PubMed ID: 28647020
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.