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 *

179 related articles for article (PubMed ID: 26098411)

  • 1. Mixed models approaches for joint modeling of different types of responses.
    Ivanova A; Molenberghs G; Verbeke G
    J Biopharm Stat; 2016; 26(4):601-18. PubMed ID: 26098411
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fast and highly efficient pseudo-likelihood methodology for large and complex ordinal data.
    Ivanova A; Molenberghs G; Verbeke G
    Stat Methods Med Res; 2017 Dec; 26(6):2758-2779. PubMed ID: 26446001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An extended random-effects approach to modeling repeated, overdispersed count data.
    Molenberghs G; Verbeke G; Demétrio CG
    Lifetime Data Anal; 2007 Dec; 13(4):513-31. PubMed ID: 17999182
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fitting mixed-effects models for repeated ordinal outcomes with the NLMIXED procedure.
    Sheu CF
    Behav Res Methods Instrum Comput; 2002 May; 34(2):151-7. PubMed ID: 12109005
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretation.
    Efendi A; Molenberghs G; Njagi EN; Dendale P
    Biom J; 2013 Jul; 55(4):572-88. PubMed ID: 23606452
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial.
    Mwangi M; Molenberghs G; Njagi EN; Mwalili S; Braekers R; Florez AJ; Gachau S; Bukania ZN; Verbeke G
    Biom J; 2024 Mar; 66(2):e2200333. PubMed ID: 38499515
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Log-normal frailty models fitted as Poisson generalized linear mixed models.
    Hirsch K; Wienke A; Kuss O
    Comput Methods Programs Biomed; 2016 Dec; 137():167-175. PubMed ID: 28110722
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Joint modeling of hierarchically clustered and overdispersed non-gaussian continuous outcomes for comet assay data.
    Ghebretinsae AH; Faes C; Molenberghs G; Geys H; Van der Leede BJ
    Pharm Stat; 2012; 11(6):449-55. PubMed ID: 22997130
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Longitudinal Joint Modelling of Ordinal and Overdispersed Count Outcomes: A Bridge Distribution for the Ordinal Random Intercept.
    Amini P; Moghimbeigi A; Zayeri F; Tapak L; Maroufizadeh S; Verbeke G
    Comput Math Methods Med; 2021; 2021():5521881. PubMed ID: 33763151
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes.
    Li B; Lingsma HF; Steyerberg EW; Lesaffre E
    BMC Med Res Methodol; 2011 May; 11():77. PubMed ID: 21605357
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Joint modeling of longitudinal continuous, longitudinal ordinal, and time-to-event outcomes.
    Alam K; Maity A; Sinha SK; Rizopoulos D; Sattar A
    Lifetime Data Anal; 2021 Jan; 27(1):64-90. PubMed ID: 33236257
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Empirical Bayes estimates for correlated hierarchical data with overdispersion.
    Iddi S; Molenberghs G; Aregay M; Kalema G
    Pharm Stat; 2014; 13(5):316-26. PubMed ID: 25181392
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Bayesian, generalized frailty model for comet assays.
    Ghebretinsae AH; Faes C; Molenberghs G; De Boeck M; Geys H
    J Biopharm Stat; 2013 May; 23(3):618-36. PubMed ID: 23611199
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalized quasi-linear mixed-effects model.
    Saigusa Y; Eguchi S; Komori O
    Stat Methods Med Res; 2022 Jul; 31(7):1280-1291. PubMed ID: 35286226
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian inference for joint modelling of longitudinal continuous, binary and ordinal events.
    Li Q; Pan J; Belcher J
    Stat Methods Med Res; 2016 Dec; 25(6):2521-2540. PubMed ID: 25411326
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Three-part joint modeling methods for complex functional data mixed with zero-and-one-inflated proportions and zero-inflated continuous outcomes with skewness.
    Li H; Staudenmayer J; Wang T; Keadle SK; Carroll RJ
    Stat Med; 2018 Feb; 37(4):611-626. PubMed ID: 29052239
    [TBL] [Abstract][Full Text] [Related]  

  • 17. On fitting generalized linear mixed-effects models for binary responses using different statistical packages.
    Zhang H; Lu N; Feng C; Thurston SW; Xia Y; Zhu L; Tu XM
    Stat Med; 2011 Sep; 30(20):2562-72. PubMed ID: 21671252
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of a flexible piecewise linear mixed-effects model in the analysis of randomized cross-over trials.
    Mwangi M; Verbeke G; Njagi EN; Florez AJ; Mwalili S; Ivanova A; Bukania ZN; Molenberghs G
    Pharm Stat; 2024; 23(3):370-384. PubMed ID: 38146135
    [TBL] [Abstract][Full Text] [Related]  

  • 19. GEEORD: A SAS macro for analyzing ordinal response variables with repeated measures through proportional odds, partial proportional odds, or non-proportional odds models.
    Gao X; Schwartz TA; Preisser JS; Perin J
    Comput Methods Programs Biomed; 2017 Oct; 150():23-30. PubMed ID: 28859827
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Novel non-linear models for clinical trial analysis with longitudinal data: A tutorial using SAS for both frequentist and Bayesian methods.
    Wang G; Wang W; Mangal B; Liao Y; Schneider L; Li Y; Xiong C; McDade E; Kennedy R; Bateman R; Cutter G
    Stat Med; 2024 Jul; 43(15):2987-3004. PubMed ID: 38727205
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.