Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 131

Related Citations for PubMed (Select 24682266)

1.

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. 2014 Mar 28. [Epub ahead of print]

PMID:
24682266
2.

A Spatial Poisson Hurdle Model for Exploring Geographic Variation in Emergency Department Visits.

Neelon B, Ghosh P, Loebs PF.

J R Stat Soc Ser A Stat Soc. 2013 Feb 1;176(2):389-413. Epub 2012 Jun 28.

3.

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 10;33(25):4402-19. doi: 10.1002/sim.6237. Epub 2014 Jun 23.

PMID:
24957791
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.

PMID:
16892908
5.

Modeling factors influencing the demand for emergency department services in Ontario: a comparison of methods.

Moineddin R, Meaney C, Agha M, Zagorski B, Glazier RH.

BMC Emerg Med. 2011 Aug 19;11:13. doi: 10.1186/1471-227X-11-13.

6.

A spatiotemporal quantile regression model for emergency department expenditures.

Neelon B, Li F, Burgette LF, Benjamin Neelon SE.

Stat Med. 2015 Mar 17. doi: 10.1002/sim.6480. [Epub ahead of print]

PMID:
25782041
7.

Zero adjusted models with applications to analysing helminths count data.

Chipeta MG, Ngwira BM, Simoonga C, Kazembe LN.

BMC Res Notes. 2014 Nov 27;7:856. doi: 10.1186/1756-0500-7-856.

8.

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 30;33(27):4825-40. doi: 10.1002/sim.6241. Epub 2014 Jun 19.

9.

Bayesian two-part spatial models for semicontinuous data with application to emergency department expenditures.

Neelon B, Zhu L, Neelon SE.

Biostatistics. 2015 Feb 2. pii: kxu062. [Epub ahead of print]

PMID:
25649743
10.
11.

Zero-inflated and hurdle models of count data with extra zeros: examples from an HIV-risk reduction intervention trial.

Hu MC, Pavlicova M, Nunes EV.

Am J Drug Alcohol Abuse. 2011 Sep;37(5):367-75. doi: 10.3109/00952990.2011.597280.

12.

Local influence measure of zero-inflated generalized Poisson mixture regression models.

Chen XD, Fu YZ, Wang XR.

Stat Med. 2013 Apr 15;32(8):1294-312. doi: 10.1002/sim.5560. Epub 2012 Aug 17.

PMID:
22903860
13.

Count data distributions and their zero-modified equivalents as a framework for modelling microbial data with a relatively high occurrence of zero counts.

Gonzales-Barron U, Kerr M, Sheridan JJ, Butler F.

Int J Food Microbiol. 2010 Jan 1;136(3):268-77. doi: 10.1016/j.ijfoodmicro.2009.10.016. Epub 2009 Oct 28.

PMID:
19913934
14.

The k-ZIG: flexible modeling for zero-inflated counts.

Ghosh S, Gelfand AE, Zhu K, Clark JS.

Biometrics. 2012 Sep;68(3):878-85. doi: 10.1111/j.1541-0420.2011.01729.x. Epub 2012 Feb 20.

PMID:
22348816
15.
16.
17.
18.

Hurdle models for multilevel zero-inflated data via h-likelihood.

Molas M, Lesaffre E.

Stat Med. 2010 Dec 30;29(30):3294-310. doi: 10.1002/sim.3852.

PMID:
21170922
19.

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. doi: 10.1111/j.2044-8317.2011.02031.x. Epub 2011 Sep 23.

PMID:
21950803
20.

A score test for overdispersion in zero-inflated poisson mixed regression model.

Xiang L, Lee AH, Yau KK, McLachlan GJ.

Stat Med. 2007 Mar 30;26(7):1608-22.

PMID:
16794991
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk