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 *

133 related articles for article (PubMed ID: 33544300)

  • 1. Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes.
    Ulitzsch E; He Q; Ulitzsch V; Molter H; Nichterlein A; Niedermeier R; Pohl S
    Psychometrika; 2021 Mar; 86(1):190-214. PubMed ID: 33544300
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A machine learning-based procedure for leveraging clickstream data to investigate early predictability of failure on interactive tasks.
    Ulitzsch E; Ulitzsch V; He Q; Lüdtke O
    Behav Res Methods; 2023 Apr; 55(3):1392-1412. PubMed ID: 35650385
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Subtask analysis of process data through a predictive model.
    Wang Z; Tang X; Liu J; Ying Z
    Br J Math Stat Psychol; 2023 Feb; 76(1):211-235. PubMed ID: 36317951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A latent topic model with Markov transition for process data.
    Xu H; Fang G; Ying Z
    Br J Math Stat Psychol; 2020 Nov; 73(3):474-505. PubMed ID: 31912906
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ProcData: An R Package for Process Data Analysis.
    Tang X; Zhang S; Wang Z; Liu J; Ying Z
    Psychometrika; 2021 Dec; 86(4):1058-1083. PubMed ID: 34382131
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Biclustering of Log Data: Insights from a Computer-Based Complex Problem Solving Assessment.
    Xu X; Zhang S; Guo J; Xin T
    J Intell; 2024 Jan; 12(1):. PubMed ID: 38248908
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method.
    Zhan P; Qiao X
    Psychometrika; 2022 Dec; 87(4):1529-1547. PubMed ID: 35389193
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mapping Background Variables With Sequential Patterns in Problem-Solving Environments: An Investigation of United States Adults' Employment Status in PIAAC.
    Liao D; He Q; Jiao H
    Front Psychol; 2019; 10():646. PubMed ID: 30971986
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint modeling of action sequences and action time in computer-based interactive tasks.
    Fu Y; Zhan P; Chen Q; Jiao H
    Behav Res Methods; 2024 Aug; 56(5):4293-4310. PubMed ID: 37429984
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Latent Feature Extraction for Process Data via Multidimensional Scaling.
    Tang X; Wang Z; He Q; Liu J; Ying Z
    Psychometrika; 2020 Jun; 85(2):378-397. PubMed ID: 32572672
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. The relationship between classical item characteristics and item response time on computer-based testing.
    Chae YM; Park SG; Park I
    Korean J Med Educ; 2019 Mar; 31(1):1-9. PubMed ID: 30852856
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Polytomous Effectiveness Indicators in Complex Problem-Solving Tasks and Their Applications in Developing Measurement Model.
    Wang P; Liu H
    Psychometrika; 2024 Sep; 89(3):877-902. PubMed ID: 38592619
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An exploratory analysis of the latent structure of process data via action sequence autoencoders.
    Tang X; Wang Z; Liu J; Ying Z
    Br J Math Stat Psychol; 2021 Feb; 74(1):1-33. PubMed ID: 32442346
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using Sankey diagrams to visualize drag and drop action sequences in technology-enhanced items.
    Gong T; Jiang Y; Saldivia LE; Agard C
    Behav Res Methods; 2022 Feb; 54(1):117-132. PubMed ID: 34109559
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data.
    Chen Y
    Psychometrika; 2020 Dec; 85(4):1052-1075. PubMed ID: 33346883
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using Deterministic, Gated Item Response Theory Model to detect test cheating due to item compromise.
    Shu Z; Henson R; Luecht R
    Psychometrika; 2013 Jul; 78(3):481-97. PubMed ID: 25106396
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sequence-based enzyme catalytic domain prediction using clustering and aggregated mutual information content.
    Choi K; Kim S
    J Bioinform Comput Biol; 2011 Oct; 9(5):597-611. PubMed ID: 21976378
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Dyadic IRT Model.
    Gin B; Sim N; Skrondal A; Rabe-Hesketh S
    Psychometrika; 2020 Sep; 85(3):815-836. PubMed ID: 32856271
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.