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 *

157 related articles for article (PubMed ID: 30887369)

  • 1. A regularization approach for the detection of differential item functioning in generalized partial credit models.
    Schauberger G; Mair P
    Behav Res Methods; 2020 Feb; 52(1):279-294. PubMed ID: 30887369
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.
    Belzak WCM; Bauer DJ
    Psychol Methods; 2020 Dec; 25(6):673-690. PubMed ID: 31916799
    [TBL] [Abstract][Full Text] [Related]  

  • 3. DIF Statistical Inference Without Knowing Anchoring Items.
    Chen Y; Li C; Ouyang J; Xu G
    Psychometrika; 2023 Dec; 88(4):1097-1122. PubMed ID: 37550561
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-automated Rasch analysis with differential item functioning.
    Wijayanto F; Bucur IG; Mul K; Groot P; van Engelen BGM; Heskes T
    Behav Res Methods; 2023 Sep; 55(6):3129-3148. PubMed ID: 36070131
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of sources of DIF using covariates in patient-reported outcome measures: a simulation study comparing two approaches based on Rasch family models.
    Dubuy Y; Hardouin JB; Blanchin M; Sébille V
    Front Psychol; 2023; 14():1191107. PubMed ID: 37637889
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Penalization approaches in the conditional maximum likelihood and Rasch modelling context.
    Gürer C; Draxler C
    Br J Math Stat Psychol; 2023 Feb; 76(1):154-191. PubMed ID: 36102201
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models.
    Wang C; Zhu R; Xu G
    Multivariate Behav Res; 2023; 58(2):387-407. PubMed ID: 35086405
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A penalty approach to differential item functioning in Rasch models.
    Tutz G; Schauberger G
    Psychometrika; 2015 Mar; 80(1):21-43. PubMed ID: 24297435
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling and Testing Differential Item Functioning in Unidimensional Binary Item Response Models with a Single Continuous Covariate: A Functional Data Analysis Approach.
    Liu Y; Magnus BE; Thissen D
    Psychometrika; 2016 Jun; 81(2):371-98. PubMed ID: 26155757
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Real and Artificial Differential Item Functioning in Polytomous Items.
    Andrich D; Hagquist C
    Educ Psychol Meas; 2015 Apr; 75(2):185-207. PubMed ID: 29795818
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differential Item Functioning (DIF) and Subsequent Bias in Group Comparisons using a Composite Measurement Scale: A Simulation Study.
    Rouquette A; Hardouin JB; Coste J
    J Appl Meas; 2016; 17(3):312-334. PubMed ID: 28027055
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures.
    Teresi JA; Kleinman M; Ocepek-Welikson K
    Stat Med; 2000 Jun 15-30; 19(11-12):1651-83. PubMed ID: 10844726
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Item-Focused Trees for the Detection of Differential Item Functioning in Partial Credit Models.
    Bollmann S; Berger M; Tutz G
    Educ Psychol Meas; 2018 Oct; 78(5):781-804. PubMed ID: 32655170
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unsupervised item response theory models for assessing sample heterogeneity in patient-reported outcomes measures.
    Sajobi TT; Sanusi RA; Mayo NE; Sawatzky R; Kongsgaard Nielsen L; Sebille V; Liu J; Bohm E; Awosoga O; Norris CM; Wilton SB; James MT; Lix LM
    Qual Life Res; 2024 Mar; 33(3):853-864. PubMed ID: 38127205
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Item Response Theory With Covariates (IRT-C): Assessing Item Recovery and Differential Item Functioning for the Three-Parameter Logistic Model.
    Tay L; Huang Q; Vermunt JK
    Educ Psychol Meas; 2016 Feb; 76(1):22-42. PubMed ID: 29795855
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparison of methods to address item non-response when testing for differential item functioning in multidimensional patient-reported outcome measures.
    Ayilara OF; Sajobi TT; Barclay R; Bohm E; Jafari Jozani M; Lix LM
    Qual Life Res; 2022 Sep; 31(9):2837-2848. PubMed ID: 35389187
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differential item functioning analysis with ordinal logistic regression techniques. DIFdetect and difwithpar.
    Crane PK; Gibbons LE; Jolley L; van Belle G
    Med Care; 2006 Nov; 44(11 Suppl 3):S115-23. PubMed ID: 17060818
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of differential item functioning in Rasch models by boosting techniques.
    Schauberger G; Tutz G
    Br J Math Stat Psychol; 2016 Feb; 69(1):80-103. PubMed ID: 26189722
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Log-Linear Modeling Approach for Differential Item Functioning Detection in Polytomously Scored Items.
    Yesiltas G; Paek I
    Educ Psychol Meas; 2020 Feb; 80(1):145-162. PubMed ID: 31933496
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.