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 *

114 related articles for article (PubMed ID: 32757460)

  • 21. Latent variable sdelection in multidimensional item response theory models using the expectation model selection algorithm.
    Xu PF; Shang L; Zheng QZ; Shan N; Tang ML
    Br J Math Stat Psychol; 2022 May; 75(2):363-394. PubMed ID: 34918834
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multivariate-
    Lin TI; Wang WL
    Stat Methods Med Res; 2020 May; 29(5):1288-1304. PubMed ID: 31242813
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Information matrices and standard errors for MLEs of item parameters in IRT.
    Yuan KH; Cheng Y; Patton J
    Psychometrika; 2014 Apr; 79(2):232-54. PubMed ID: 24659370
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis.
    Liu Y; Culpepper SA; Chen Y
    Psychometrika; 2023 Jun; 88(2):361-386. PubMed ID: 36797538
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Sample Size Requirements for Applying Mixed Polytomous Item Response Models: Results of a Monte Carlo Simulation Study.
    Kutscher T; Eid M; Crayen C
    Front Psychol; 2019; 10():2494. PubMed ID: 31798490
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration.
    Chen P; Wang C
    Psychometrika; 2021 Mar; 86(1):299-326. PubMed ID: 33591556
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance.
    Nishio M; Ota E; Matsuo H; Matsunaga T; Miyazaki A; Murakami T
    PeerJ Comput Sci; 2023; 9():e1620. PubMed ID: 37869462
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations.
    Soares EJ; Glick SJ; Hoppin JW
    IEEE Trans Med Imaging; 2005 Jan; 24(1):112-21. PubMed ID: 15638190
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A Note on the Conversion of Item Parameters Standard Errors.
    Wang C; Zhang X
    Multivariate Behav Res; 2019; 54(2):307-321. PubMed ID: 30574796
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models.
    Wang C; Xu G; Zhang X
    Psychometrika; 2019 Sep; 84(3):673-700. PubMed ID: 31183670
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Noise properties of the EM algorithm: II. Monte Carlo simulations.
    Wilson DW; Tsui BM; Barrett HH
    Phys Med Biol; 1994 May; 39(5):847-71. PubMed ID: 15552089
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Efficient Monte Carlo algorithm for restricted maximum likelihood estimation of genetic parameters.
    Matilainen K; Mäntysaari EA; Strandén I
    J Anim Breed Genet; 2019 Jul; 136(4):252-261. PubMed ID: 31247679
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A fast Monte Carlo EM algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with AGC.
    Kang L; Carter R; Darcy K; Kauderer J; Liao SY
    J Appl Stat; 2013; 40(12):2699-2719. PubMed ID: 24163493
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Using the expectation maximization algorithm to estimate coefficient alpha for scales with item-level missing data.
    Enders CK
    Psychol Methods; 2003 Sep; 8(3):322-37. PubMed ID: 14596494
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Application of Binary Searching for Item Exposure Control in Cognitive Diagnostic Computerized Adaptive Testing.
    Zheng C; Wang C
    Appl Psychol Meas; 2017 Oct; 41(7):561-576. PubMed ID: 29881106
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Alternative implementations of Monte Carlo EM algorithms for likelihood inferences.
    García-Cortés LA; Sorensen D
    Genet Sel Evol; 2001; 33(4):443-52. PubMed ID: 11559486
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The Reduced RUM as a Logit Model: Parameterization and Constraints.
    Chiu CY; Köhn HF
    Psychometrika; 2016 Jun; 81(2):350-70. PubMed ID: 25838247
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Estimating the Cognitive Diagnosis [Formula: see text] Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset.
    Culpepper SA
    Psychometrika; 2019 Jun; 84(2):333-357. PubMed ID: 30456748
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.