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 *

165 related articles for article (PubMed ID: 34760432)

  • 21. Count data models for outpatient health services utilisation.
    Abu Bakar NS; Ab Hamid J; Mohd Nor Sham MSJ; Sham MN; Jailani AS
    BMC Med Res Methodol; 2022 Oct; 22(1):261. PubMed ID: 36199028
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Application of zero-inflated models on regression analysis of count data: a study of sub-health symptoms].
    Xu T; Li W; Chen T
    Zhonghua Liu Xing Bing Xue Za Zhi; 2011 Feb; 32(2):187-91. PubMed ID: 21518631
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits.
    Neelon B; Chang HH; Ling Q; Hastings NS
    Stat Methods Med Res; 2016 Dec; 25(6):2558-2576. PubMed ID: 24682266
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Bayesian clustering of multiple zero-inflated outcomes.
    Franzolini B; Cremaschi A; van den Boom W; De Iorio M
    Philos Trans A Math Phys Eng Sci; 2023 May; 381(2247):20220145. PubMed ID: 36970823
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Nonlinear mixed-effects modeling of longitudinal count data: Bayesian inference about median counts based on the marginal zero-inflated discrete Weibull distribution.
    Burger DA; Lesaffre E
    Stat Med; 2021 Oct; 40(23):5078-5095. PubMed ID: 34155664
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Statistical modelling of falls count data with excess zeros.
    Khan A; Ullah S; Nitz J
    Inj Prev; 2011 Aug; 17(4):266-70. PubMed ID: 21653652
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Copula-based Markov zero-inflated count time series models with application.
    Alqawba M; Diawara N
    J Appl Stat; 2021; 48(5):786-803. PubMed ID: 35707445
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory.
    Lord D; Washington SP; Ivan JN
    Accid Anal Prev; 2005 Jan; 37(1):35-46. PubMed ID: 15607273
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use.
    Pittman B; Buta E; Garrison K; Gueorguieva R
    Nicotine Tob Res; 2023 Apr; 25(5):996-1003. PubMed ID: 36318799
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset.
    Feng C
    J Appl Stat; 2022; 49(1):1-23. PubMed ID: 35707804
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Quasi-binomial zero-inflated regression model suitable for variables with bounded support.
    Gómez-Déniz E; Gallardo DI; Gómez HW
    J Appl Stat; 2020; 47(12):2208-2229. PubMed ID: 35706839
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Testing latent class of subjects with structural zeros in negative binomial models with applications to gut microbiome data.
    Ye P; Qiao X; Tang W; Wang C; He H
    Stat Methods Med Res; 2022 Nov; 31(11):2237-2254. PubMed ID: 35899309
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Spatial modeling of data with excessive zeros applied to reindeer pellet-group counts.
    Lee Y; Alam MM; Noh M; Rönnegård L; Skarin A
    Ecol Evol; 2016 Oct; 6(19):7047-7056. PubMed ID: 28725382
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Distribution-free Inference of Zero-inated Binomial Data for Longitudinal Studies.
    He H; Wang WJ; Hu J; Gallop R; Crits-Christoph P; Xia YL
    J Appl Stat; 2015 Oct; 42(10):2203-2219. PubMed ID: 26435563
    [TBL] [Abstract][Full Text] [Related]  

  • 37. On some aspects of a zero-inflated overdispersed model and its applications.
    Satheesh Kumar C; Ramachandran R
    J Appl Stat; 2020; 47(3):506-523. PubMed ID: 35706965
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Zero-Inflated Time Series Modelling of COVID-19 Deaths in Ghana.
    Tawiah K; Iddrisu WA; Asampana Asosega K
    J Environ Public Health; 2021; 2021():5543977. PubMed ID: 34012470
    [TBL] [Abstract][Full Text] [Related]  

  • 39. On performance of parametric and distribution-free models for zero-inflated and over-dispersed count responses.
    Tang W; Lu N; Chen T; Wang W; Gunzler DD; Han Y; Tu XM
    Stat Med; 2015 Oct; 34(24):3235-45. PubMed ID: 26078035
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Improving performance of hurdle models using rare-event weighted logistic regression: an application to maternal mortality data.
    Awuor Okello S; Otieno Omondi E; Odhiambo CO
    R Soc Open Sci; 2023 Aug; 10(8):221226. PubMed ID: 37621657
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.