133 related articles for article (PubMed ID: 24942314)
1. Functional linear models for zero-inflated count data with application to modeling hospitalizations in patients on dialysis.
Sentürk D; Dalrymple LS; Nguyen DV
Stat Med; 2014 Nov; 33(27):4825-40. PubMed ID: 24942314
[TBL] [Abstract][Full Text] [Related]
2. Generalized partially linear single-index model for zero-inflated count data.
Wang X; Zhang J; Yu L; Yin G
Stat Med; 2015 Feb; 34(5):876-86. PubMed ID: 25421596
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data.
Rose CE; Martin SW; Wannemuehler KA; Plikaytis BD
J Biopharm Stat; 2006; 16(4):463-81. PubMed ID: 16892908
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros.
Kassahun W; Neyens T; Molenberghs G; Faes C; Verbeke G
Stat Med; 2014 Nov; 33(25):4402-19. PubMed ID: 24957791
[TBL] [Abstract][Full Text] [Related]
7. Bivariate zero-inflated regression for count data: a Bayesian approach with application to plant counts.
Majumdar A; Gries C
Int J Biostat; 2010; 6(1):Article 27. PubMed ID: 21969981
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Hurdle models for multilevel zero-inflated data via h-likelihood.
Molas M; Lesaffre E
Stat Med; 2010 Dec; 29(30):3294-310. PubMed ID: 21170922
[TBL] [Abstract][Full Text] [Related]
10. Joint model for longitudinal mixture of normal and zero-inflated power series correlated responses
Sharifian N; Bahrami Samani E; Ganjali M
J Biopharm Stat; 2021 Mar; 31(2):117-140. PubMed ID: 32881606
[TBL] [Abstract][Full Text] [Related]
11. Multilevel modeling in single-case studies with zero-inflated and overdispersed count data.
Li H; Luo W; Baek E
Behav Res Methods; 2024 Apr; 56(4):2765-2781. PubMed ID: 38383801
[TBL] [Abstract][Full Text] [Related]
12. Analyzing hospitalization data: potential limitations of Poisson regression.
Weaver CG; Ravani P; Oliver MJ; Austin PC; Quinn RR
Nephrol Dial Transplant; 2015 Aug; 30(8):1244-9. PubMed ID: 25813274
[TBL] [Abstract][Full Text] [Related]
13. A score test for overdispersion in zero-inflated poisson mixed regression model.
Xiang L; Lee AH; Yau KK; McLachlan GJ
Stat Med; 2007 Mar; 26(7):1608-22. PubMed ID: 16794991
[TBL] [Abstract][Full Text] [Related]
14. The analysis of zero-inflated count data: beyond zero-inflated Poisson regression.
Loeys T; Moerkerke B; De Smet O; Buysse A
Br J Math Stat Psychol; 2012 Feb; 65(1):163-80. PubMed ID: 21950803
[TBL] [Abstract][Full Text] [Related]
15. Modelling count data with excessive zeros: the need for class prediction in zero-inflated models and the issue of data generation in choosing between zero-inflated and generic mixture models for dental caries data.
Gilthorpe MS; Frydenberg M; Cheng Y; Baelum V
Stat Med; 2009 Dec; 28(28):3539-53. PubMed ID: 19902494
[TBL] [Abstract][Full Text] [Related]
16. Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the US dialysis population.
Sentürk D; Dalrymple LS; Mu Y; Nguyen DV
Stat Med; 2014 Nov; 33(25):4387-401. PubMed ID: 24930810
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. A comparison of statistical methods for modeling count data with an application to hospital length of stay.
Fernandez GA; Vatcheva KP
BMC Med Res Methodol; 2022 Aug; 22(1):211. PubMed ID: 35927612
[TBL] [Abstract][Full Text] [Related]
20. Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data.
Sim SZ; Gupta RC; Ong SH
Int J Biostat; 2018 Jan; 14(1):. PubMed ID: 29306919
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
