BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 24992250)

  • 1. Performance of the likelihood ratio difference (G2 Diff) test for detecting unidimensionality in applications of the multidimensional Rasch model.
    Harrell-Williams L; Wolfe EW
    J Appl Meas; 2014; 15(3):267-75. PubMed ID: 24992250
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On robustness and power of the likelihood-ratio test as a model test of the linear logistic test model.
    Hohensinn C; Kubinger KD; Reif M
    J Appl Meas; 2014; 15(3):252-66. PubMed ID: 24992249
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Loglinear representations of multivariate Bernoulli Rasch models.
    Hessen DJ
    Br J Math Stat Psychol; 2011 May; 64(Pt 2):337-54. PubMed ID: 21492137
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A generalized dimensionality discrepancy measure for dimensionality assessment in multidimensional item response theory.
    Levy R; Svetina D
    Br J Math Stat Psychol; 2011 May; 64(Pt 2):208-32. PubMed ID: 21492129
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Marginal likelihood inference for a model for item responses and response times.
    Glas CA; van der Linden WJ
    Br J Math Stat Psychol; 2010 Nov; 63(Pt 3):603-26. PubMed ID: 20109271
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Applying the Rasch sampler to identify aberrant responding through person fit statistics under fixed nominal α-level.
    Spoden C; Fleischer J; Leutner D
    J Appl Meas; 2014; 15(3):276-91. PubMed ID: 24992251
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Testing hypotheses involving Cronbach's alpha using marginal models.
    Kuijpers RE; van der Ark LA; Croon MA
    Br J Math Stat Psychol; 2013 Nov; 66(3):503-20. PubMed ID: 23663052
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimation of IRT graded response models: limited versus full information methods.
    Forero CG; Maydeu-Olivares A
    Psychol Methods; 2009 Sep; 14(3):275-99. PubMed ID: 19719362
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimating the pi* goodness of fit index for finite mixtures of item response models.
    Revuelta J
    Br J Math Stat Psychol; 2008 May; 61(Pt 1):93-113. PubMed ID: 18482477
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A chi-square goodness-of-fit test for autoregressive logistic regression models with applications to patient screening.
    Hansen AM; Jeske D; Kirsch W
    J Biopharm Stat; 2015; 25(1):89-108. PubMed ID: 24854578
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detecting differential item functioning with five standardized item-fit indices in the Rasch model.
    Seol H
    J Outcome Meas; 1999; 3(3):233-47. PubMed ID: 10431491
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Influences on the Mantel-Haenszel chi-square in detection of differential item functioning under Rasch conditions.
    Uttaro T
    Percept Mot Skills; 1995 Jun; 80(3 Pt 2):1071-4. PubMed ID: 7478860
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A comparison of structural equation and multidimensional Rasch modeling approaches to Confirmatory Factor Analysis.
    Wolfe EW; Singh K
    J Appl Meas; 2011; 12(3):212-21. PubMed ID: 22357124
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparison of discriminant logistic regression and Item Response Theory Likelihood-Ratio Tests for Differential Item Functioning (IRTLRDIF) in polytomous short tests.
    Hidalgo MD; López-Martínez MD; Gómez-Benito J; Guilera G
    Psicothema; 2016; 28(1):83-8. PubMed ID: 26820429
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rasch analysis of distractors in multiple-choice items.
    Wang WC
    J Outcome Meas; 1998; 2(1):43-65. PubMed ID: 9661731
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparing score tests and other local dependence diagnostics for the graded response model.
    Liu Y; Thissen D
    Br J Math Stat Psychol; 2014 Nov; 67(3):496-513. PubMed ID: 25286229
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Goodness of fit in polytomous items: Type I error rates and empirical power for three fit-indexes].
    Sueiro MJ; Abad FJ
    Psicothema; 2009 Nov; 21(4):639-45. PubMed ID: 19861112
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The performance of robust test statistics with categorical data.
    Savalei V; Rhemtulla M
    Br J Math Stat Psychol; 2013 May; 66(2):201-23. PubMed ID: 22568535
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using multidimensional Rasch to enhance measurement precision: initial results from simulation and empirical studies.
    Mok MM; Xu K
    J Appl Meas; 2013; 14(1):27-43. PubMed ID: 23442326
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison of confirmatory factor analysis and multidimensional Rasch models to investigate the dimensionality of test-taking motivation.
    Demars CE
    J Appl Meas; 2013; 14(2):179-96. PubMed ID: 23816595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.