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 *

144 related articles for article (PubMed ID: 29683722)

  • 1. Recursive Partitioning with Nonlinear Models of Change.
    Stegmann G; Jacobucci R; Serang S; Grimm KJ
    Multivariate Behav Res; 2018; 53(4):559-570. PubMed ID: 29683722
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using recursive partitioning to account for parameter heterogeneity in multinomial processing tree models.
    Wickelmaier F; Zeileis A
    Behav Res Methods; 2018 Jun; 50(3):1217-1233. PubMed ID: 28779459
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Random forest methodology for model-based recursive partitioning: the mobForest package for R.
    Garge NR; Bobashev G; Eggleston B
    BMC Bioinformatics; 2013 Apr; 14():125. PubMed ID: 23577585
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees.
    Fokkema M; Smits N; Zeileis A; Hothorn T; Kelderman H
    Behav Res Methods; 2018 Oct; 50(5):2016-2034. PubMed ID: 29071652
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Binary recursive partitioning: background, methods, and application to psychology.
    Merkle EC; Shaffer VA
    Br J Math Stat Psychol; 2011 Feb; 64(Pt 1):161-81. PubMed ID: 21506949
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Model-based recursive partitioning to identify risk clusters for metabolic syndrome and its components: findings from the International Mobility in Aging Study.
    Pirkle CM; Wu YY; Zunzunegui MV; Gómez JF
    BMJ Open; 2018 Mar; 8(3):e018680. PubMed ID: 29500203
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Examination of a Functional Mixed-Effects Modeling Approach to the Analysis of Longitudinal Data.
    Fine KL; Suk HW; Grimm KJ
    Multivariate Behav Res; 2019; 54(4):475-491. PubMed ID: 30896253
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying Homogeneous Subgroups in Neurological Disorders: Unbiased Recursive Partitioning in Cervical Complete Spinal Cord Injury.
    Tanadini LG; Steeves JD; Hothorn T; Abel R; Maier D; Schubert M; Weidner N; Rupp R; Curt A
    Neurorehabil Neural Repair; 2014 Jul; 28(6):507-15. PubMed ID: 24477680
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Foundation for nonlinear models with thresholds for longitudinal data.
    Bartholomew MJ
    J Biopharm Stat; 2000 Nov; 10(4):469-80. PubMed ID: 11104388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Longitudinal models of reading achievement of students with learning disabilities and without disabilities.
    Sullivan AL; Kohli N; Farnsworth EM; Sadeh S; Jones L
    Sch Psychol Q; 2017 Sep; 32(3):336-349. PubMed ID: 27428448
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data.
    Proust C; Jacqmin-Gadda H; Taylor JM; Ganiayre J; Commenges D
    Biometrics; 2006 Dec; 62(4):1014-24. PubMed ID: 17156275
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Recursive partitioning for monotone missing at random longitudinal markers.
    Stock S; DeGruttola V
    Stat Med; 2013 Mar; 32(6):978-94. PubMed ID: 22941582
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Explorations of Individual Change Processes and Their Determinants: A Novel Approach and Remaining Challenges.
    Grimm KJ; Jacobucci R; Stegmann G; Serang S
    Multivariate Behav Res; 2022; 57(4):525-542. PubMed ID: 34236928
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of nonlinear patterns of change with random coefficient models.
    Cudeck R; Harring JR
    Annu Rev Psychol; 2007; 58():615-37. PubMed ID: 16953795
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modeling change trajectories with count and zero-inflated outcomes: Challenges and recommendations.
    Grimm KJ; Stegmann G
    Addict Behav; 2019 Jul; 94():4-15. PubMed ID: 30322730
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analyzing longitudinal data with the linear mixed models procedure in SPSS.
    West BT
    Eval Health Prof; 2009 Sep; 32(3):207-28. PubMed ID: 19679634
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Principal curve algorithms for partitioning high-dimensional data spaces.
    Zhang J; Wang X; Kruger U; Wang FY
    IEEE Trans Neural Netw; 2011 Mar; 22(3):367-80. PubMed ID: 21193373
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Functional Nonlinear Mixed Effects Models for Longitudinal Image Data.
    Luo X; Zhu L; Kong L; Zhu H
    Inf Process Med Imaging; 2015; 24():794-805. PubMed ID: 26213453
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: the npde add-on package for R.
    Comets E; Brendel K; Mentré F
    Comput Methods Programs Biomed; 2008 May; 90(2):154-66. PubMed ID: 18215437
    [TBL] [Abstract][Full Text] [Related]  

  • 20. On analyzing circadian rhythms data using nonlinear mixed models with harmonic terms.
    Albert PS; Hunsberger S
    Biometrics; 2005 Dec; 61(4):1115-20; discussion 1120-2. PubMed ID: 16401286
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.