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 *

106 related articles for article (PubMed ID: 25822207)

  • 1. Meaningful aspects of change as novel random coefficients: a general method for reparameterizing longitudinal models.
    Preacher KJ; Hancock GR
    Psychol Methods; 2015 Mar; 20(1):84-101. PubMed ID: 25822207
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Time to criterion latent growth models.
    Johnson TL; Hancock GR
    Psychol Methods; 2019 Dec; 24(6):690-707. PubMed ID: 30998039
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparing standardized coefficients in structural equation modeling: a model reparameterization approach.
    Kwan JL; Chan W
    Behav Res Methods; 2011 Sep; 43(3):730-45. PubMed ID: 21512876
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Latent Growth Models with Floors, Ceilings, and Random Knots.
    Feng Y; Hancock GR; Harring JR
    Multivariate Behav Res; 2019; 54(5):751-770. PubMed ID: 31090453
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimating rate of change for nonlinear trajectories in the framework of individual measurement occasions: A new perspective on growth curves.
    Liu J; Perera RA
    Behav Res Methods; 2024 Mar; 56(3):1349-1375. PubMed ID: 37540468
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On estimating and testing associations between random coefficients from multivariate generalized linear mixed models of longitudinal outcomes.
    Mikulich-Gilbertson SK; Wagner BD; Riggs PD; Zerbe GO
    Stat Methods Med Res; 2017 Jun; 26(3):1130-1145. PubMed ID: 25636408
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Structural Modeling Approach to a Multilevel Random Coefficients Model.
    Rovine MJ; Molenaar PC
    Multivariate Behav Res; 2000 Jan; 35(1):51-88. PubMed ID: 26777231
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Comparisons of two statistical approaches in studying the longitudinal data: the multilevel model and the latent growth curve model].
    Li L; Zhou S; Zhang M; Zhang Y; Gao Y
    Zhonghua Liu Xing Bing Xue Za Zhi; 2014 Jun; 35(6):741-4. PubMed ID: 25174485
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An introduction to latent variable mixture modeling (part 2): longitudinal latent class growth analysis and growth mixture models.
    Berlin KS; Parra GR; Williams NA
    J Pediatr Psychol; 2014 Mar; 39(2):188-203. PubMed ID: 24277770
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An introduction to latent growth curve modelling for longitudinal continuous data in dental research.
    Tu YK; D'Aiuto F; Baelum V; Gilthorpe MS
    Eur J Oral Sci; 2009 Aug; 117(4):343-50. PubMed ID: 19627343
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On the unnecessary ubiquity of hierarchical linear modeling.
    McNeish D; Stapleton LM; Silverman RD
    Psychol Methods; 2017 Mar; 22(1):114-140. PubMed ID: 27149401
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Two-stage method of estimation for general linear growth curve models.
    Stukel TA; Demidenko E
    Biometrics; 1997 Jun; 53(2):720-8. PubMed ID: 9192460
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On the likelihood ratio test in structural equation modeling when parameters are subject to boundary constraints.
    Stoel RD; Garre FG; Dolan C; van den Wittenboer G
    Psychol Methods; 2006 Dec; 11(4):439-55. PubMed ID: 17154756
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian structural equation modeling: a more flexible representation of substantive theory.
    Muthén B; Asparouhov T
    Psychol Methods; 2012 Sep; 17(3):313-35. PubMed ID: 22962886
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multilevel structural equation models for assessing moderation within and across levels of analysis.
    Preacher KJ; Zhang Z; Zyphur MJ
    Psychol Methods; 2016 Jun; 21(2):189-205. PubMed ID: 26651982
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nonlinear Growth Models as Measurement Models: A Second-Order Growth Curve Model for Measuring Potential.
    McNeish D; Dumas D
    Multivariate Behav Res; 2017; 52(1):61-85. PubMed ID: 27911083
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fungible parameter estimates in structural equation modeling.
    Lee T; MacCallum RC; Browne MW
    Psychol Methods; 2018 Mar; 23(1):58-75. PubMed ID: 28414480
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Measuring patterns of change in personality assessments: an annotated application of latent growth curve modeling.
    Byrne BM; Lam WW; Fielding R
    J Pers Assess; 2008 Nov; 90(6):536-46. PubMed ID: 18925494
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Latent Growth and Dynamic Structural Equation Models.
    Grimm KJ; Ram N
    Annu Rev Clin Psychol; 2018 May; 14():55-89. PubMed ID: 29734829
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Structured latent curve models for the study of change in multivariate repeated measures.
    Blozis SA
    Psychol Methods; 2004 Sep; 9(3):334-53. PubMed ID: 15355152
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.