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 *

260 related articles for article (PubMed ID: 26059498)

  • 21. Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver.
    Cao Y; Kang L; Li X; Liu Y; Luo Y; Shi Y
    IEEE Trans Neural Netw Learn Syst; 2024 Sep; 35(9):12057-12067. PubMed ID: 37028319
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A GEE-type approach to untangle structural and random zeros in predictors.
    Ye P; Tang W; He J; He H
    Stat Methods Med Res; 2019 Dec; 28(12):3683-3696. PubMed ID: 30472921
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Fixed and random effects selection in mixed effects models.
    Ibrahim JG; Zhu H; Garcia RI; Guo R
    Biometrics; 2011 Jun; 67(2):495-503. PubMed ID: 20662831
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Comparison of methods for modelling a count outcome with excess zeros: application to Activities of Daily Living (ADL-s).
    Zaninotto P; Falaschetti E
    J Epidemiol Community Health; 2011 Mar; 65(3):205-10. PubMed ID: 20675703
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Semiparametric models for multilevel overdispersed count data with extra zeros.
    Mahmoodi M; Moghimbeigi A; Mohammad K; Faradmal J
    Stat Methods Med Res; 2018 Apr; 27(4):1187-1201. PubMed ID: 27389670
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Estimation for zero-inflated over-dispersed count data model with missing response.
    Mian R; Paul S
    Stat Med; 2016 Dec; 35(30):5603-5624. PubMed ID: 27582395
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Variable selection in semiparametric nonmixture cure model with interval-censored failure time data: An application to the prostate cancer screening study.
    Sun L; Li S; Wang L; Song X
    Stat Med; 2019 Jul; 38(16):3026-3039. PubMed ID: 31032999
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Sparse Group Penalties for bi-level variable selection.
    Buch G; Schulz A; Schmidtmann I; Strauch K; Wild PS
    Biom J; 2024 Jun; 66(4):e2200334. PubMed ID: 38747086
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Penalized variable selection for accelerated failure time models with random effects.
    Park E; Ha ID
    Stat Med; 2019 Feb; 38(5):878-892. PubMed ID: 30411376
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR.
    Bondell HD; Reich BJ
    Biometrics; 2008 Mar; 64(1):115-23. PubMed ID: 17608783
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Untangle the Structural and Random Zeros in Statistical Modelings.
    Tang W; He H; Wang WJ; Chen DG
    J Appl Stat; 2018; 45(9):1714-1733. PubMed ID: 30906098
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Penalized estimating equations.
    Fu WJ
    Biometrics; 2003 Mar; 59(1):126-32. PubMed ID: 12762449
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Bootstrap tests for overdispersion in a zero-inflated Poisson regression model.
    Jung BC; Jhun M; Lee JW
    Biometrics; 2005 Jun; 61(2):626-8; discussion 628-9. PubMed ID: 16011713
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Zero-inflated Poisson model based likelihood ratio test for drug safety signal detection.
    Huang L; Zheng D; Zalkikar J; Tiwari R
    Stat Methods Med Res; 2017 Feb; 26(1):471-488. PubMed ID: 25189699
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Improved Variable Selection Algorithm Using a LASSO-Type Penalty, with an Application to Assessing Hepatitis B Infection Relevant Factors in Community Residents.
    Guo P; Zeng F; Hu X; Zhang D; Zhu S; Deng Y; Hao Y
    PLoS One; 2015; 10(7):e0134151. PubMed ID: 26214802
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning.
    Shi Y; Huang J; Jiao Y; Yang Q
    IEEE Trans Neural Netw Learn Syst; 2020 Aug; 31(8):2993-3006. PubMed ID: 31536018
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Models for analyzing zero-inflated and overdispersed count data: an application to cigarette and marijuana use.
    Pittman B; Buta E; Krishnan-Sarin S; O'Malley SS; Liss T; Gueorguieva R
    Nicotine Tob Res; 2018 Apr; 22(8):1390-8. PubMed ID: 29912423
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Distribution-free model selection for longitudinal zero-inflated count data with missing responses and covariates.
    Chen CS; Shen CW
    Stat Med; 2022 Jul; 41(16):3180-3198. PubMed ID: 35429179
    [TBL] [Abstract][Full Text] [Related]  

  • 39. What statistical method should be used to evaluate risk factors associated with dmfs index? Evidence from the National Pathfinder Survey of 4-year-old Italian children.
    Solinas G; Campus G; Maida C; Sotgiu G; Cagetti MG; Lesaffre E; Castiglia P
    Community Dent Oral Epidemiol; 2009 Dec; 37(6):539-46. PubMed ID: 19845715
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Regularization Methods Based on the
    Hirose Y
    Entropy (Basel); 2020 Sep; 22(9):. PubMed ID: 33286805
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.