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 *

161 related articles for article (PubMed ID: 25552424)

  • 1. Modeling local dependence in longitudinal IRT models.
    Olsbjerg M; Christensen KB
    Behav Res Methods; 2015 Dec; 47(4):1413-1424. PubMed ID: 25552424
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust Measurement via A Fused Latent and Graphical Item Response Theory Model.
    Chen Y; Li X; Liu J; Ying Z
    Psychometrika; 2018 Sep; 83(3):538-562. PubMed ID: 29532405
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data.
    Jin IH; Jeon M
    Psychometrika; 2019 Mar; 84(1):236-260. PubMed ID: 29987708
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Latent variable models for multivariate longitudinal ordinal responses.
    Cagnone S; Moustaki I; Vasdekis V
    Br J Math Stat Psychol; 2009 May; 62(Pt 2):401-15. PubMed ID: 18625083
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Longitudinal measurement in health-related surveys. A Bayesian joint growth model for multivariate ordinal responses.
    Verhagen J; Fox JP
    Stat Med; 2013 Jul; 32(17):2988-3005. PubMed ID: 23212734
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Rasch modelling to deal with changes in the questionnaires used during long-term follow-up of cohort studies: a simulation study.
    Rouquette A; Côté SM; Hardouin JB; Falissard B
    BMC Med Res Methodol; 2016 Aug; 16(1):105. PubMed ID: 27553524
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Controlling response dependence in the measurement of change using the Rasch model.
    Andrich D
    Stat Methods Med Res; 2018 Dec; 27(12):3709-3725. PubMed ID: 28633605
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A generalized longitudinal mixture IRT model for measuring differential growth in learning environments.
    Kadengye DT; Ceulemans E; Van den Noortgate W
    Behav Res Methods; 2014 Sep; 46(3):823-40. PubMed ID: 24258320
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An analytic strategy for modeling multiple-item responses: a breast cancer symptom example.
    Doorenbos AZ; Verbitsky N; Given B; Given CW
    Nurs Res; 2005; 54(4):229-34. PubMed ID: 16027565
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modeling nicotine dependence: an application of a longitudinal IRT model for the analysis of adolescent nicotine dependence syndrome scale.
    Liu LC; Hedeker D; Mermelstein RJ
    Nicotine Tob Res; 2013 Feb; 15(2):326-33. PubMed ID: 22585539
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of CTT and Rasch-based approaches for the analysis of longitudinal Patient Reported Outcomes.
    Blanchin M; Hardouin JB; Le Neel T; Kubis G; Blanchard C; Mirallié E; Sébille V
    Stat Med; 2011 Apr; 30(8):825-38. PubMed ID: 21432877
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Limited-information goodness-of-fit testing of diagnostic classification item response models.
    Hansen M; Cai L; Monroe S; Li Z
    Br J Math Stat Psychol; 2016 Nov; 69(3):225-252. PubMed ID: 27404336
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investigating latent constructs with item response models: a MATLAB IRTm toolbox.
    Braeken J; Tuerlinckx F
    Behav Res Methods; 2009 Nov; 41(4):1127-37. PubMed ID: 19897820
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Item set discrimination and the unit in the Rasch model.
    Humphry S
    J Appl Meas; 2012; 13(2):165-80. PubMed ID: 22805360
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Hierarchical Rater Model for Longitudinal Data.
    Casabianca JM; Junker BW; Nieto R; Bond MA
    Multivariate Behav Res; 2017; 52(5):576-592. PubMed ID: 28846050
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On a Generalization of Local Independence in Item Response Theory Based on Knowledge Space Theory.
    Noventa S; Spoto A; Heller J; Kelava A
    Psychometrika; 2019 Jun; 84(2):395-421. PubMed ID: 30421075
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robustness of Parameter Estimation to Assumptions of Normality in the Multidimensional Graded Response Model.
    Wang C; Su S; Weiss DJ
    Multivariate Behav Res; 2018; 53(3):403-418. PubMed ID: 29624093
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mixture IRT Model With a Higher-Order Structure for Latent Traits.
    Huang HY
    Educ Psychol Meas; 2017 Apr; 77(2):275-304. PubMed ID: 29795914
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation of Parameters of the Rasch Model and Comparison of Groups in Presence of Locally Dependent Items.
    Feddag ML; Blanchin M; Sébille V; Hardouin JB
    J Appl Meas; 2015; 16(3):268-77. PubMed ID: 26753222
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accounting for Local Dependence with the Rasch Model: The Paradox of Information Increase.
    Andrich D
    J Appl Meas; 2016; 17(3):262-282. PubMed ID: 28027051
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.