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 *

255 related articles for article (PubMed ID: 29111774)

  • 1. An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models.
    Marsman M; Borsboom D; Kruis J; Epskamp S; van Bork R; Waldorp LJ; Maas HLJV; Maris G
    Multivariate Behav Res; 2018; 53(1):15-35. PubMed ID: 29111774
    [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. 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]  

  • 4. Item response theory and the measurement of psychiatric constructs: some empirical and conceptual issues and challenges.
    Reise SP; Rodriguez A
    Psychol Med; 2016 Jul; 46(10):2025-39. PubMed ID: 27056796
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Generalized Network Psychometrics: Combining Network and Latent Variable Models.
    Epskamp S; Rhemtulla M; Borsboom D
    Psychometrika; 2017 Dec; 82(4):904-927. PubMed ID: 28290111
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Kinds versus continua: a review of psychometric approaches to uncover the structure of psychiatric constructs.
    Borsboom D; Rhemtulla M; Cramer AO; van der Maas HL; Scheffer M; Dolan CV
    Psychol Med; 2016 Jun; 46(8):1567-79. PubMed ID: 26997244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Latent Variable Selection for Multidimensional Item Response Theory Models via [Formula: see text] Regularization.
    Sun J; Chen Y; Liu J; Ying Z; Xin T
    Psychometrika; 2016 Dec; 81(4):921-939. PubMed ID: 27699561
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Toward an Integrative Psychometric Model of Emotions.
    Lange J; Dalege J; Borsboom D; van Kleef GA; Fischer AH
    Perspect Psychol Sci; 2020 Mar; 15(2):444-468. PubMed ID: 32040935
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Item Cloning Variation and the Impact on the Parameters of Response Models.
    Lathrop QN; Cheng Y
    Psychometrika; 2017 Mar; 82(1):245-263. PubMed ID: 27699558
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A New Explanation and Proof of the Paradoxical Scoring Results in Multidimensional Item Response Models.
    Jordan P; Spiess M
    Psychometrika; 2018 Dec; 83(4):831-846. PubMed ID: 29030750
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences.
    van der Maas HLJ; Molenaar D; Maris G; Kievit RA; Borsboom D
    Psychol Rev; 2011 Apr; 118(2):339-356. PubMed ID: 21401290
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A primer on classical test theory and item response theory for assessments in medical education.
    De Champlain AF
    Med Educ; 2010 Jan; 44(1):109-17. PubMed ID: 20078762
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The value of item response theory in clinical assessment: a review.
    Thomas ML
    Assessment; 2011 Sep; 18(3):291-307. PubMed ID: 20644081
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Item response theory and the measurement of clinical change.
    Reise SP; Haviland MG
    J Pers Assess; 2005 Jun; 84(3):228-38. PubMed ID: 15907159
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Understanding Rasch and item response theory models: applications to the estimation and validation of interval latent trait measures from responses to rating scale questionnaires.
    Massof RW
    Ophthalmic Epidemiol; 2011 Feb; 18(1):1-19. PubMed ID: 21275592
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Investigating the Utility of Fixed-margin Sampling in Network Psychometrics.
    Epskamp S; Fried EI; van Borkulo CD; Robinaugh DJ; Marsman M; Dalege J; Rhemtulla M; Cramer AOJ
    Multivariate Behav Res; 2021; 56(2):314-328. PubMed ID: 30463456
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving psychometric assessment of the Beck Depression Inventory using multidimensional item response theory.
    Fragoso TM; Cúri M
    Biom J; 2013 Jul; 55(4):527-40. PubMed ID: 23526351
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Recent Integrations of Latent Variable Network Modeling With Psychometric Models.
    Wang S
    Front Psychol; 2021; 12():773289. PubMed ID: 34955989
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.