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: 9581456)

  • 21. Modelling of discrete spatial variation in epidemiology with SAS using GLIMMIX.
    Rasmussen S
    Comput Methods Programs Biomed; 2004 Oct; 76(1):83-9. PubMed ID: 15313544
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Guided multiple imputation of missing data: using a subsample to strengthen the missing-at-random assumption.
    Fraser G; Yan R
    Epidemiology; 2007 Mar; 18(2):246-52. PubMed ID: 17259903
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Imputation strategies for missing continuous outcomes in cluster randomized trials.
    Taljaard M; Donner A; Klar N
    Biom J; 2008 Jun; 50(3):329-45. PubMed ID: 18537126
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Gaussianization-based quasi-imputation and expansion strategies for incomplete correlated binary responses.
    Demirtas H; Hedeker D
    Stat Med; 2007 Feb; 26(4):782-99. PubMed ID: 16596579
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Autoregressive-model-based missing value estimation for DNA microarray time series data.
    Choong MK; Charbit M; Yan H
    IEEE Trans Inf Technol Biomed; 2009 Jan; 13(1):131-7. PubMed ID: 19129032
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A test of the missing data mechanism for repeated categorical data.
    Park T; Davis CS
    Biometrics; 1993 Jun; 49(2):631-8. PubMed ID: 8369395
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A SAS macro for parametric and semiparametric mixture cure models.
    Corbière F; Joly P
    Comput Methods Programs Biomed; 2007 Feb; 85(2):173-80. PubMed ID: 17157948
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Regression models for unbalanced longitudinal ordinal data: computer software and a simulation study.
    Yu KF; Yuan W
    Comput Methods Programs Biomed; 2004 Sep; 75(3):195-200. PubMed ID: 15265618
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Imputation strategies for blood pressure data nonignorably missing due to medication use.
    Cook NR
    Clin Trials; 2006; 3(5):411-20. PubMed ID: 17060215
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.
    Qu Y; Lipkovich I
    Stat Med; 2009 Apr; 28(9):1402-14. PubMed ID: 19222021
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Biometrical modeling of twin and family data using standard mixed model software.
    Rabe-Hesketh S; Skrondal A; Gjessing HK
    Biometrics; 2008 Mar; 64(1):280-8. PubMed ID: 17484777
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Imputation methods to improve inference in SNP association studies.
    Dai JY; Ruczinski I; LeBlanc M; Kooperberg C
    Genet Epidemiol; 2006 Dec; 30(8):690-702. PubMed ID: 16986162
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A latent-class mixture model for incomplete longitudinal Gaussian data.
    Beunckens C; Molenberghs G; Verbeke G; Mallinckrodt C
    Biometrics; 2008 Mar; 64(1):96-105. PubMed ID: 17608789
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The Impact of Missing Values and Single Imputation upon Rasch Analysis Outcomes: A Simulation Study.
    Fellinghauer CS; Prodinger B; Tennant A
    J Appl Meas; 2018; 19(1):1-25. PubMed ID: 29561739
    [TBL] [Abstract][Full Text] [Related]  

  • 35. [Multiple imputation of missing at random data: General points and presentation of a Monte-Carlo method].
    Cottrell G; Cot M; Mary JY
    Rev Epidemiol Sante Publique; 2009 Oct; 57(5):361-72. PubMed ID: 19674855
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A SAS/IML program for implementing the modified Brown-Forsythe procedure in repeated measures designs.
    Vallejo G; Moris J; Conejo NM
    Comput Methods Programs Biomed; 2006 Sep; 83(3):169-77. PubMed ID: 16934362
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example.
    van der Heijden GJ; Donders AR; Stijnen T; Moons KG
    J Clin Epidemiol; 2006 Oct; 59(10):1102-9. PubMed ID: 16980151
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Analysis of matched case-control data in presence of nonignorable missing exposure.
    Sinha S; Maiti T
    Biometrics; 2008 Mar; 64(1):106-14. PubMed ID: 17573865
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Non-linear random effects model for multivariate responses with missing data.
    Marshall G; De la Cruz-Mesía R; Barón AE; Rutledge JH; Zerbe GO
    Stat Med; 2006 Aug; 25(16):2817-30. PubMed ID: 16143998
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Expected estimating equations for missing data, measurement error, and misclassification, with application to longitudinal nonignorable missing data.
    Wang CY; Huang Y; Chao EC; Jeffcoat MK
    Biometrics; 2008 Mar; 64(1):85-95. PubMed ID: 17608787
    [TBL] [Abstract][Full Text] [Related]  

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