BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

321 related articles for article (PubMed ID: 29624092)

  • 1. At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study.
    Hamaker EL; Asparouhov T; Brose A; Schmiedek F; Muthén B
    Multivariate Behav Res; 2018; 53(6):820-841. PubMed ID: 29624092
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mixture multilevel vector-autoregressive modeling.
    Ernst AF; Timmerman ME; Ji F; Jeronimus BF; Albers CJ
    Psychol Methods; 2024 Feb; 29(1):137-154. PubMed ID: 37561488
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.
    McNeish D; Hamaker EL
    Psychol Methods; 2020 Oct; 25(5):610-635. PubMed ID: 31855015
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How to compare cross-lagged associations in a multilevel autoregressive model.
    Schuurman NK; Ferrer E; de Boer-Sonnenschein M; Hamaker EL
    Psychol Methods; 2016 Jun; 21(2):206-21. PubMed ID: 27045851
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Investigating Moderation Effects at the Within-Person Level Using Intensive Longitudinal Data: A Two-Level Dynamic Structural Equation Modelling Approach in Mplus.
    Speyer LG; Murray AL; Kievit R
    Multivariate Behav Res; 2024; 59(3):620-637. PubMed ID: 38356288
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The fixed versus random effects debate and how it relates to centering in multilevel modeling.
    Hamaker EL; Muthén B
    Psychol Methods; 2020 Jun; 25(3):365-379. PubMed ID: 31613118
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Comparison of Inverse-Wishart Prior Specifications for Covariance Matrices in Multilevel Autoregressive Models.
    Schuurman NK; Grasman RP; Hamaker EL
    Multivariate Behav Res; 2016; 51(2-3):185-206. PubMed ID: 27028576
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Workers' emotional exhaustion and mental well-being over the COVID-19 pandemic: a Dynamic Structural Equation Modeling (DSEM) approach.
    Perinelli E; Vignoli M; Kröner F; Müller A; Genrich M; Fraccaroli F
    Front Psychol; 2023; 14():1222845. PubMed ID: 37868607
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Multilevel AR(1) Model: Allowing for Inter-Individual Differences in Trait-Scores, Inertia, and Innovation Variance.
    Jongerling J; Laurenceau JP; Hamaker EL
    Multivariate Behav Res; 2015; 50(3):334-49. PubMed ID: 26610033
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Opportunities and Issues in Modeling Intensive Longitudinal Data: Learning from the COGITO Project.
    West SG
    Multivariate Behav Res; 2018; 53(6):777-781. PubMed ID: 30744425
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Skewness and Staging: Does the Floor Effect Induce Bias in Multilevel AR(1) Models?
    Haqiqatkhah MM; Ryan O; Hamaker EL
    Multivariate Behav Res; 2024; 59(2):289-319. PubMed ID: 38160329
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Measurement error and person-specific reliability in multilevel autoregressive modeling.
    Schuurman NK; Hamaker EL
    Psychol Methods; 2019 Feb; 24(1):70-91. PubMed ID: 30188157
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Dynamic Structural Equation Modeling to Examine Between- and Within-Persons Factor Structure of the DASS-21.
    Bond MH; Wickham RE
    Assessment; 2023 Oct; 30(7):2115-2127. PubMed ID: 36482683
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Get Over It! A Multilevel Threshold Autoregressive Model for State-Dependent Affect Regulation.
    De Haan-Rietdijk S; Gottman JM; Bergeman CS; Hamaker EL
    Psychometrika; 2016 Mar; 81(1):217-41. PubMed ID: 25091047
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mediation from multilevel to structural equation modeling.
    MacKinnon DP; Valente MJ
    Ann Nutr Metab; 2014; 65(2-3):198-204. PubMed ID: 25413658
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigating Individual Variation Using Dynamic Structural Equation Modeling: A Tutorial with Tinnitus.
    Rodebaugh TL; Piccirillo ML; Frumkin MR; Kallogjeri D; Gerull KM; Piccirillo JF
    Clin Psychol Sci; 2023 May; 11(3):574-591. PubMed ID: 37408827
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Comparison of Multilevel Mediation Modeling Methods: Recommendations for Applied Researchers.
    Zigler CK; Ye F
    Multivariate Behav Res; 2019; 54(3):338-359. PubMed ID: 30663388
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differentiating between mixed-effects and latent-curve approaches to growth modeling.
    McNeish D; Matta T
    Behav Res Methods; 2018 Aug; 50(4):1398-1414. PubMed ID: 29067672
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A structural equation modeling approach for modeling variability as a latent variable.
    Feng Y; Hancock GR
    Psychol Methods; 2024 Apr; 29(2):262-286. PubMed ID: 35404625
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparisons of Multilevel Modeling and Structural Equation Modeling Approaches to Actor-Partner Interdependence Model.
    Hong S; Kim S
    Psychol Rep; 2019 Apr; 122(2):558-574. PubMed ID: 29587581
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.