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 *

119 related articles for article (PubMed ID: 29881019)

  • 1. Consistency of Cluster Analysis for Cognitive Diagnosis: The DINO Model and the DINA Model Revisited.
    Chiu CY; Köhn HF
    Appl Psychol Meas; 2015 Sep; 39(6):465-479. PubMed ID: 29881019
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Consistency of Cluster Analysis for Cognitive Diagnosis: The Reduced Reparameterized Unified Model and the General Diagnostic Model.
    Chiu CY; Köhn HF
    Psychometrika; 2016 Sep; 81(3):585-610. PubMed ID: 27230079
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A general proof of consistency of heuristic classification for cognitive diagnosis models.
    Chiu CY; Köhn HF
    Br J Math Stat Psychol; 2015 Nov; 68(3):387-409. PubMed ID: 25872467
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Consistency Theory for the General Nonparametric Classification Method.
    Chiu CY; Köhn HF
    Psychometrika; 2019 Sep; 84(3):830-845. PubMed ID: 30725333
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of item parameters and examinees' mastery probability in each domain of the Korean medical licensing examination using deterministic inputs, noisy and gate(DINA) model.
    Choi Y; Seo DG
    J Educ Eval Health Prof; 2020; 17():35. PubMed ID: 33197992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination.
    Seo DG; Kim JK
    J Educ Eval Health Prof; 2021; 18():15. PubMed ID: 34225413
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Research on the Cognitive Diagnosis of Chinese Listening Comprehension Ability Based on the G-DINA Model.
    Li L; An Y; Ren J; Wei X
    Front Psychol; 2021; 12():714568. PubMed ID: 34557134
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On the Link between Cognitive Diagnostic Models and Knowledge Space Theory.
    Heller J; Stefanutti L; Anselmi P; Robusto E
    Psychometrika; 2015 Dec; 80(4):995-1019. PubMed ID: 25838246
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Sequential Process Model for Cognitive Diagnostic Assessment With Repeated Attempts.
    Hung SP; Huang HY
    Appl Psychol Meas; 2019 Oct; 43(7):495-511. PubMed ID: 31534286
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifiability of Diagnostic Classification Models.
    Xu G; Zhang S
    Psychometrika; 2016 Sep; 81(3):625-49. PubMed ID: 26155755
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Impact of Item Calibration Error on Variable-Length Cognitive Diagnostic Computerized Adaptive Testing.
    Sun X; Liu Y; Xin T; Song N
    Front Psychol; 2020; 11():575141. PubMed ID: 33343450
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian Estimation of the DINA Q matrix.
    Chen Y; Culpepper SA; Chen Y; Douglas J
    Psychometrika; 2018 Mar; 83(1):89-108. PubMed ID: 28861685
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Heuristic cognitive diagnosis when the Q-matrix is unknown.
    Köhn HF; Chiu CY; Brusco MJ
    Br J Math Stat Psychol; 2015 May; 68(2):268-91. PubMed ID: 25496248
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Utilizing response times in cognitive diagnostic computerized adaptive testing under the higher-order deterministic input, noisy 'and' gate model.
    Huang HY
    Br J Math Stat Psychol; 2020 Feb; 73(1):109-141. PubMed ID: 30793768
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modified Cognitive Diagnostic Index and Modified Attribute-Level Discrimination Index for Test Construction.
    Kuo BC; Pai HS; de la Torre J
    Appl Psychol Meas; 2016 Jul; 40(5):315-330. PubMed ID: 29881056
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DINA Models for Multiple-Choice Items With Few Parameters: Considering Incorrect Answers.
    Ozaki K
    Appl Psychol Meas; 2015 Sep; 39(6):431-447. PubMed ID: 29881017
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Semi-supervised Learning-Based Diagnostic Classification Method Using Artificial Neural Networks.
    Xue K; Bradshaw LP
    Front Psychol; 2020; 11():618336. PubMed ID: 33551928
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A classification model for continuous responses: Identifying risk perception groups on health-related activities.
    de Oliveira ESB; Wang X; Bazán JL
    Biom J; 2023 Apr; 65(4):e2100222. PubMed ID: 36782079
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation approaches in cognitive diagnosis modeling when attributes are hierarchically structured.
    Akbay L; de la Torre J
    Psicothema; 2020 Feb; 32(1):122-129. PubMed ID: 31954425
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating the DINA model parameters using the No-U-Turn Sampler.
    da Silva MA; de Oliveira ESB; von Davier AA; Bazán JL
    Biom J; 2018 Mar; 60(2):352-368. PubMed ID: 29194715
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.