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 *

134 related articles for article (PubMed ID: 35706768)

  • 1. A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes.
    Baghfalaki T; Ganjali M; Kabir A; Pazouki A
    J Appl Stat; 2022; 49(3):638-655. PubMed ID: 35706768
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data.
    Choi J; Anderson SJ; Richards TJ; Thompson WK
    J Appl Stat; 2014 Jan; 41(10):2192-2205. PubMed ID: 25214700
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Approximate Bayesian inference for joint linear and partially linear modeling of longitudinal zero-inflated count and time to event data.
    Baghfalaki T; Ganjali M
    Stat Methods Med Res; 2021 Jun; 30(6):1484-1501. PubMed ID: 33872092
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian joint modeling of longitudinal measurements and time-to-event data using robust distributions.
    Baghfalaki T; Ganjali M; Hashemi R
    J Biopharm Stat; 2014; 24(4):834-55. PubMed ID: 24697192
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semiparametric multivariate joint model for skewed-longitudinal and survival data: A Bayesian approach.
    Chen J; Huang Y; Wang Q
    Stat Med; 2023 Nov; 42(27):4972-4989. PubMed ID: 37668072
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian hierarchical joint modeling of repeatedly measured continuous and ordinal markers of disease severity: Application to Ugandan diabetes data.
    Buhule OD; Wahed AS; Youk AO
    Stat Med; 2017 Dec; 36(29):4677-4691. PubMed ID: 28833382
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: a Bayesian approach.
    Baghfalaki T; Ganjali M; Berridge D
    Biom J; 2013 Nov; 55(6):844-65. PubMed ID: 23907983
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian joint modelling of longitudinal and time to event data: a methodological review.
    Alsefri M; Sudell M; García-Fiñana M; Kolamunnage-Dona R
    BMC Med Res Methodol; 2020 Apr; 20(1):94. PubMed ID: 32336264
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials.
    Wu J; Chen MH; Schifano ED; Ibrahim JG; Fisher JD
    Stat Med; 2019 Dec; 38(30):5565-5586. PubMed ID: 31691322
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint modeling of zero-inflated longitudinal measurements and time-to-event outcomes with applications to dynamic prediction.
    Ganjali M; Baghfalaki T; Balakrishnan N
    Stat Methods Med Res; 2024 Oct; 33(10):1731-1767. PubMed ID: 39373068
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian analysis of longitudinal binary responses based on the multivariate probit model: A comparison of five methods.
    Lu K; Chen F
    Stat Methods Med Res; 2022 Dec; 31(12):2261-2286. PubMed ID: 36128906
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian Spatial Modeling for Housing Data in South Africa.
    Wang B; Banerjee S; Gupta R
    Sankhya B (2008); 2021 Nov; 83(Suppl 2):395-414. PubMed ID: 35463799
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Statistical Modeling of Longitudinal Data with Non-ignorable Non-monotone Missingness with Semiparametric Bayesian and Machine Learning Components.
    Cao Y; Mukhopadhyay ND
    Sankhya B (2008); 2021 May; 83(1):152-169. PubMed ID: 34149235
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Markov transition models for binary repeated measures with ignorable and nonignorable missing values.
    Xiaowei Yang ; Shoptaw S; Kun Nie ; Juanmei Liu ; Belin TR
    Stat Methods Med Res; 2007 Aug; 16(4):347-64. PubMed ID: 17715161
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Revisiting methods for modeling longitudinal and survival data: Framingham Heart Study.
    Ngwa JS; Cabral HJ; Cheng DM; Gagnon DR; LaValley MP; Cupples LA
    BMC Med Res Methodol; 2021 Feb; 21(1):29. PubMed ID: 33568059
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A latent autoregressive model for longitudinal binary data subject to informative missingness.
    Albert PS; Follmann DA; Wang SA; Suh EB
    Biometrics; 2002 Sep; 58(3):631-42. PubMed ID: 12229998
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bayesian analysis of longitudinal dyadic data with informative missing data using a dyadic shared-parameter model.
    Ahn J; Morita S; Wang W; Yuan Y
    Stat Methods Med Res; 2019 Jan; 28(1):70-83. PubMed ID: 28629259
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches.
    Chan JS
    Biom J; 2016 May; 58(3):549-69. PubMed ID: 26467236
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Latent trait shared-parameter mixed models for missing ecological momentary assessment data.
    Cursio JF; Mermelstein RJ; Hedeker D
    Stat Med; 2019 Feb; 38(4):660-673. PubMed ID: 30318637
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.