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 *

120 related articles for article (PubMed ID: 23543634)

  • 1. On the relevance of assumptions associated with classical factor analytic approaches.
    Kasper D; Unlü A
    Front Psychol; 2013; 4():109. PubMed ID: 23543634
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
    Foffi G; Pastore A; Piazza F; Temussi PA
    Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semi-Nonparametric Methods for Detecting Latent Non-normality: A Fusion of Latent Trait and Ordered Latent Class Modeling.
    Schmitt JE; Mehta PD; Aggen SH; Kubarych TS; Neale MC
    Multivariate Behav Res; 2006 Dec; 41(4):427-43. PubMed ID: 26794913
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robustness of Parameter Estimation to Assumptions of Normality in the Multidimensional Graded Response Model.
    Wang C; Su S; Weiss DJ
    Multivariate Behav Res; 2018; 53(3):403-418. PubMed ID: 29624093
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Response to letter to the editor from Dr Rahman Shiri: The challenging topic of suicide across occupational groups.
    Niedhammer I; Milner A; Witt K; Klingelschmidt J; Khireddine-Medouni I; Alexopoulos EC; Toivanen S; Chastang JF; LaMontagne AD
    Scand J Work Environ Health; 2018 Jan; 44(1):108-110. PubMed ID: 29218357
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A semiparametric Bayesian approach for structural equation models.
    Song XY; Pan JH; Kwok T; Vandenput L; Ohlsson C; Leung PC
    Biom J; 2010 Jun; 52(3):314-32. PubMed ID: 20533410
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Partial Identification of Latent Correlations with Ordinal Data.
    Moss J; Grønneberg S
    Psychometrika; 2023 Mar; 88(1):241-252. PubMed ID: 36719549
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Alternative Approaches to Addressing Non-Normal Distributions in the Application of IRT Models to Personality Measures.
    Reise SP; Rodriguez A; Spritzer KL; Hays RD
    J Pers Assess; 2018; 100(4):363-374. PubMed ID: 29087217
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Not quite normal: Consequences of violating the assumption of normality in regression mixture models.
    Lee Van Horn M; Smith J; Fagan AA; Jaki T; Feaster DJ; Masyn K; Hawkins JD; Howe G
    Struct Equ Modeling; 2012; 19(2):227-249. PubMed ID: 22754273
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Power and sample size determination in the Rasch model: evaluation of the robustness of a numerical method to non-normality of the latent trait.
    Guilleux A; Blanchin M; Hardouin JB; Sébille V
    PLoS One; 2014; 9(1):e83652. PubMed ID: 24427276
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The Heteroscedastic Graded Response Model with a Skewed Latent Trait: Testing Statistical and Substantive Hypotheses Related to Skewed Item Category Functions.
    Molenaar D; Dolan CV; de Boeck P
    Psychometrika; 2012 Jul; 77(3):455-78. PubMed ID: 27519776
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis.
    Gu Y; Xu G
    J Am Stat Assoc; 2023; 118(541):746-760. PubMed ID: 37153844
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Finite Mixture Models with Student t Distributions: an Applied Example.
    Burgess-Hull AJ
    Prev Sci; 2020 Aug; 21(6):872-883. PubMed ID: 32306224
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Plausible values: how to deal with their limitations.
    Monseur C; Adams R
    J Appl Meas; 2009; 10(3):320-34. PubMed ID: 19671992
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Establishing the HLS-Q12 short version of the European Health Literacy Survey Questionnaire: latent trait analyses applying Rasch modelling and confirmatory factor analysis.
    Finbråten HS; Wilde-Larsson B; Nordström G; Pettersen KS; Trollvik A; Guttersrud Ø
    BMC Health Serv Res; 2018 Jun; 18(1):506. PubMed ID: 29954382
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Summed Score Likelihood-Based Indices for Testing Latent Variable Distribution Fit in Item Response Theory.
    Li Z; Cai L
    Educ Psychol Meas; 2018 Oct; 78(5):857-886. PubMed ID: 32655173
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Reliability of Scales With Second-Order Structure: Evaluation of Coefficient Alpha's Population Slippage Using Latent Variable Modeling.
    Raykov T; Goldammer P; Marcoulides GA; Li T; Menold N
    Educ Psychol Meas; 2018 Dec; 78(6):1123-1135. PubMed ID: 30559517
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Conditional rate derivation in the presence of intervening variables using a Markov chain.
    Shachtman RH; Schoenfelder JR; Hogue CJ
    Oper Res; 1982; 30(6):1070-81. PubMed ID: 10259644
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Latent trait standardization of the benzodiazepine dependence self-report questionnaire using the Rasch scaling model.
    Kan CC; van der Ven AH; Breteler MH; Zitman FG
    Compr Psychiatry; 2001; 42(5):424-32. PubMed ID: 11559870
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.