Le Neel T - Search Results

1

Low-penetrance alleles predisposing to sporadic colorectal cancers: a French case-controlled genetic association study.

Küry S, Buecher B, Robiou-du-Pont S, Scoul C, Colman H, Le Neel T, Le Houérou C, Faroux R, Ollivry J, Lafraise B, Chupin LD, Sébille V, Bézieau S. Küry S, et al. Among authors: le neel t. BMC Cancer. 2008 Nov 7;8:326. doi: 10.1186/1471-2407-8-326. BMC Cancer. 2008. PMID: 18992148 Free PMC article.

2

Combinations of cytochrome P450 gene polymorphisms enhancing the risk for sporadic colorectal cancer related to red meat consumption.

Küry S, Buecher B, Robiou-du-Pont S, Scoul C, Sébille V, Colman H, Le Houérou C, Le Neel T, Bourdon J, Faroux R, Ollivry J, Lafraise B, Chupin LD, Bézieau S. Küry S, et al. Among authors: le neel t, le houerou c. Cancer Epidemiol Biomarkers Prev. 2007 Jul;16(7):1460-7. doi: 10.1158/1055-9965.EPI-07-0236. Cancer Epidemiol Biomarkers Prev. 2007. PMID: 17627011

3

The thorough screening of the MUTYH gene in a large French cohort of sporadic colorectal cancers.

Küry S, Buecher B, Robiou-du-Pont S, Scoul C, Colman H, Lelièvre B, Olschwang S, Le Houérou C, Le Neel T, Faroux R, Ollivry J, Lafraise B, Chupin LD, Bézieau S. Küry S, et al. Among authors: le neel t. Genet Test. 2007 Winter;11(4):373-9. doi: 10.1089/gte.2007.0029. Genet Test. 2007. PMID: 17931073

4

Methodological issues regarding power of classical test theory (CTT) and item response theory (IRT)-based approaches for the comparison of patient-reported outcomes in two groups of patients--a simulation study.

Sébille V, Hardouin JB, Le Néel T, Kubis G, Boyer F, Guillemin F, Falissard B. Sébille V, et al. Among authors: le neel t. BMC Med Res Methodol. 2010 Mar 25;10:24. doi: 10.1186/1471-2288-10-24. BMC Med Res Methodol. 2010. PMID: 20338031 Free PMC article.

5

Biases and power for groups comparison on subjective health measurements.

Hamel JF, Hardouin JB, Le Neel T, Kubis G, Roquelaure Y, Sébille V. Hamel JF, et al. Among authors: le neel t. PLoS One. 2012;7(10):e44695. doi: 10.1371/journal.pone.0044695. Epub 2012 Oct 24. PLoS One. 2012. PMID: 23115620 Free PMC article.

6

Comparison of CTT and Rasch-based approaches for the analysis of longitudinal Patient Reported Outcomes.

Blanchin M, Hardouin JB, Le Neel T, Kubis G, Blanchard C, Mirallié E, Sébille V. Blanchin M, et al. Among authors: le neel t. Stat Med. 2011 Apr 15;30(8):825-38. doi: 10.1002/sim.4153. Epub 2010 Dec 28. Stat Med. 2011. PMID: 21432877 Free article.

7

Assessment of score- and Rasch-based methods for group comparison of longitudinal patient-reported outcomes with intermittent missing data (informative and non-informative).

de Bock É, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Sébille V. de Bock É, et al. Among authors: le neel t. Qual Life Res. 2015 Jan;24(1):19-29. doi: 10.1007/s11136-014-0648-1. Epub 2014 Feb 23. Qual Life Res. 2015. PMID: 24563110

8

Power and sample size determination for group comparison of patient-reported outcomes using polytomous Rasch models.

Hardouin JB, Blanchin M, Feddag ML, Le Néel T, Perrot B, Sébille V. Hardouin JB, et al. Among authors: le neel t. Stat Med. 2015 Jul 20;34(16):2444-55. doi: 10.1002/sim.6478. Epub 2015 Mar 18. Stat Med. 2015. PMID: 25787270

9

What are the appropriate methods for analyzing patient-reported outcomes in randomized trials when data are missing?

Hamel JF, Sebille V, Le Neel T, Kubis G, Boyer FC, Hardouin JB. Hamel JF, et al. Among authors: le neel t. Stat Methods Med Res. 2017 Dec;26(6):2897-2908. doi: 10.1177/0962280215615158. Epub 2015 Nov 6. Stat Methods Med Res. 2017. PMID: 26546257

10

Rasch-family models are more valuable than score-based approaches for analysing longitudinal patient-reported outcomes with missing data.

de Bock É, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Bonnaud-Antignac A, Dantan É, Sébille V. de Bock É, et al. Among authors: le neel t. Stat Methods Med Res. 2016 Oct;25(5):2067-2087. doi: 10.1177/0962280213515570. Epub 2013 Dec 16. Stat Methods Med Res. 2016. PMID: 24346165

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