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Items: 1 to 20 of 82

1.

Investigation into the performance of different models for predicting stutter.

Bright JA, Curran JM, Buckleton JS.

Forensic Sci Int Genet. 2013 Jul;7(4):422-7. doi: 10.1016/j.fsigen.2013.04.008. Epub 2013 May 21. Erratum in: Forensic Sci Int Genet. 2013 Sep;7(5):564.

PMID:
23768314
2.

New stutter ratio distribution for DNA mixture interpretation based on a continuous model.

Manabe S, Hamano Y, Morimoto C, Kawai C, Fujimoto S, Tamaki K.

Leg Med (Tokyo). 2016 Mar;19:16-21. doi: 10.1016/j.legalmed.2016.01.007. Epub 2016 Jan 14.

PMID:
26980248
3.

Investigation into stutter ratio variability between different laboratories.

Bright JA, Curran JM.

Forensic Sci Int Genet. 2014 Nov;13:79-81. doi: 10.1016/j.fsigen.2014.07.003. Epub 2014 Jul 15.

PMID:
25082139
4.

Modelling PowerPlex® Y stutter and artefacts.

Bright JA, Curran JM, Buckleton JS.

Forensic Sci Int Genet. 2014 Jul;11:126-36. doi: 10.1016/j.fsigen.2014.03.007. Epub 2014 Mar 24.

PMID:
24727430
5.

Bayesian information criterion for longitudinal and clustered data.

Jones RH.

Stat Med. 2011 Nov 10;30(25):3050-6. doi: 10.1002/sim.4323. Epub 2011 Jul 29.

PMID:
21805487
7.

Segmentation and intensity estimation of microarray images using a gamma-t mixture model.

Baek J, Son YS, McLachlan GJ.

Bioinformatics. 2007 Feb 15;23(4):458-65. Epub 2006 Dec 12.

PMID:
17166856
8.

A joint finite mixture model for clustering genes from independent Gaussian and beta distributed data.

Dai X, Erkkilä T, Yli-Harja O, Lähdesmäki H.

BMC Bioinformatics. 2009 May 29;10:165. doi: 10.1186/1471-2105-10-165.

9.

Does choice in model selection affect maximum likelihood analysis?

Ripplinger J, Sullivan J.

Syst Biol. 2008 Feb;57(1):76-85. doi: 10.1080/10635150801898920.

PMID:
18275003
10.

Genetic analysis of somatic cell scores in US Holsteins with a Bayesian mixture model.

Boettcher PJ, Caraviello D, Gianola D.

J Dairy Sci. 2007 Jan;90(1):435-4.

PMID:
17183112
12.

Genetic aspects of early childhood stuttering.

Ambrose NG, Yairi E, Cox N.

J Speech Hear Res. 1993 Aug;36(4):701-6.

PMID:
8377483
13.

Determination of the variables affecting mixed MiniFiler™ DNA profiles.

Bright JA, Huizing E, Melia L, Buckleton J.

Forensic Sci Int Genet. 2011 Nov;5(5):381-5. doi: 10.1016/j.fsigen.2010.08.006. Epub 2010 Oct 15.

PMID:
20951659
14.

Evidence for a major gene influence on persistent developmental stuttering.

Viswanath N, Lee HS, Chakraborty R.

Hum Biol. 2004 Jun;76(3):401-12.

PMID:
15481675
15.

Composite likelihood estimation of demographic parameters.

Garrigan D.

BMC Genet. 2009 Nov 12;10:72. doi: 10.1186/1471-2156-10-72.

16.

Developing allelic and stutter peak height models for a continuous method of DNA interpretation.

Bright JA, Taylor D, Curran JM, Buckleton JS.

Forensic Sci Int Genet. 2013 Feb;7(2):296-304. doi: 10.1016/j.fsigen.2012.11.013. Epub 2013 Jan 11.

PMID:
23317914
18.
19.

A comparison of statistical selection strategies for univariate and bivariate log-linear models.

Moses T, Holland PW.

Br J Math Stat Psychol. 2010 Nov;63(Pt 3):557-74. doi: 10.1348/000711009X478580. Epub 2009 Dec 22.

PMID:
20030964
20.

Identification of traits associated with stuttering.

Subramanian A, Yairi E.

J Commun Disord. 2006 May-Jun;39(3):200-16. Epub 2006 Feb 7.

PMID:
16455103

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