Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 100

1.

Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr × Holstein F2 population.

Silva FF, Tunin KP, Rosa GJ, da Silva MV, Azevedo AL, da Silva Verneque R, Machado MA, Packer IU.

Genet Mol Biol. 2011 Oct;34(4):575-81. doi: 10.1590/S1415-47572011005000049. Epub 2011 Oct 1.

2.

Zero-inflated generalized Poisson regression mixture model for mapping quantitative trait loci underlying count trait with many zeros.

Cui Y, Yang W.

J Theor Biol. 2009 Jan 21;256(2):276-85. doi: 10.1016/j.jtbi.2008.10.003. Epub 2008 Oct 15.

PMID:
18977361
3.

Two-part zero-inflated negative binomial regression model for quantitative trait loci mapping with count trait.

Moghimbeigi A.

J Theor Biol. 2015 May 7;372:74-80. doi: 10.1016/j.jtbi.2015.02.016. Epub 2015 Feb 26.

PMID:
25728790
4.

Genome wide scan for quantitative trait loci affecting tick resistance in cattle (Bos taurus x Bos indicus).

Machado MA, Azevedo AL, Teodoro RL, Pires MA, Peixoto MG, de Freitas C, Prata MC, Furlong J, da Silva MV, Guimarães SE, Regitano LC, Coutinho LL, Gasparin G, Verneque RS.

BMC Genomics. 2010 Apr 30;11:280. doi: 10.1186/1471-2164-11-280.

5.

Locating multiple interacting quantitative trait Loci with the zero-inflated generalized poisson regression.

Erhardt V, Bogdan M, Czado C.

Stat Appl Genet Mol Biol. 2010;9:Article26. doi: 10.2202/1544-6115.1545. Epub 2010 Jun 22.

PMID:
20597852
6.
7.

Modeling repeated count measures with excess zeros in an epidemiological study.

Gupta R, Szczesniak RD, Macaluso M.

Ann Epidemiol. 2015 Aug;25(8):583-9. doi: 10.1016/j.annepidem.2015.03.011. Epub 2015 Mar 21.

PMID:
25887702
8.

A zero-inflated poisson model for genetic analysis of the number of mastitis cases in Norwegian Red cows.

Rodrigues-Motta M, Gianola D, Heringstad B, Rosa GJ, Chang YM.

J Dairy Sci. 2007 Nov;90(11):5306-15.

PMID:
17954771
9.
10.
11.

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.

12.
13.

Multi-level zero-inflated poisson regression modelling of correlated count data with excess zeros.

Lee AH, Wang K, Scott JA, Yau KK, McLachlan GJ.

Stat Methods Med Res. 2006 Feb;15(1):47-61.

PMID:
16477948
14.

Linear and Poisson models for genetic evaluation of tick resistance in cross-bred Hereford x Nellore cattle.

Ayres DR, Pereira RJ, Boligon AA, Silva FF, Schenkel FS, Roso VM, Albuquerque LG.

J Anim Breed Genet. 2013 Dec;130(6):417-24. doi: 10.1111/jbg.12036. Epub 2013 Apr 10.

PMID:
24236604
15.

A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep.

Naya H, Urioste JI, Chang YM, Rodrigues-Motta M, Kremer R, Gianola D.

Genet Sel Evol. 2008 Jul-Aug;40(4):379-94. doi: 10.1051/gse:2008010. Epub 2008 Jun 17.

16.

Statistical count models for prognosis the risk factors of hepatitis C.

Pourhoseingholi A, Baghban AA, Zayeri F, Alavian SM, Vahedi M.

Gastroenterol Hepatol Bed Bench. 2013 Winter;6(1):41-7.

17.

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 1;42(10):2203-2219. Epub 2015 Mar 18.

18.

Association of BoLA-DRB3.2 alleles with tick (Boophilus microplus) resistance in cattle.

Martinez ML, Machado MA, Nascimento CS, Silva MV, Teodoro RL, Furlong J, Prata MC, Campos AL, Guimarães MF, Azevedo AL, Pires MF, Verneque RS.

Genet Mol Res. 2006 Aug 31;5(3):513-24.

19.

Genome-wide association study of tick resistance in South African Nguni cattle.

Mapholi NO, Maiwashe A, Matika O, Riggio V, Bishop SC, MacNeil MD, Banga C, Taylor JF, Dzama K.

Ticks Tick Borne Dis. 2016 Apr;7(3):487-97. doi: 10.1016/j.ttbdis.2016.02.005. Epub 2016 Feb 17.

PMID:
26897394

Supplemental Content

Support Center