Sébille V - Search Results

1

Exploring the impact of staff absenteeism on patient satisfaction using routine databases in a university hospital.

Duclay E, Hardouin JB, Sébille V, Anthoine E, Moret L. Duclay E, et al. Among authors: sebille v. J Nurs Manag. 2015 Oct;23(7):833-41. doi: 10.1111/jonm.12219. Epub 2014 Mar 3. J Nurs Manag. 2015. PMID: 24581233

2

Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures.

Anthoine E, Moret L, Regnault A, Sébille V, Hardouin JB. Anthoine E, et al. Among authors: sebille v. Health Qual Life Outcomes. 2014 Dec 9;12:176. doi: 10.1186/s12955-014-0176-2. Health Qual Life Outcomes. 2014. PMID: 25492701 Free PMC article. Review.

3

Imputation by the mean score should be avoided when validating a Patient Reported Outcomes questionnaire by a Rasch model in presence of informative missing data.

Hardouin JB, Conroy R, Sébille V. Hardouin JB, et al. Among authors: sebille v. BMC Med Res Methodol. 2011 Jul 14;11:105. doi: 10.1186/1471-2288-11-105. BMC Med Res Methodol. 2011. PMID: 21756330 Free PMC article.

4

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: sebille v. 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

5

Power and sample size determination for the group comparison of patient-reported outcomes using the Rasch model: impact of a misspecification of the parameters.

Blanchin M, Guilleux A, Perrot B, Bonnaud-Antignac A, Hardouin JB, Sébille V. Blanchin M, et al. Among authors: sebille v. BMC Med Res Methodol. 2015 Mar 15;15:21. doi: 10.1186/s12874-015-0011-4. BMC Med Res Methodol. 2015. PMID: 25880670 Free PMC article.

6

A simple ratio-based approach for power and sample size determination for 2-group comparison using Rasch models.

Sébille V, Blanchin M, Guillemin F, Falissard B, Hardouin JB. Sébille V, et al. BMC Med Res Methodol. 2014 Jul 5;14:87. doi: 10.1186/1471-2288-14-87. BMC Med Res Methodol. 2014. PMID: 24996957 Free PMC article.

7

RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies.

Guilleux A, Blanchin M, Vanier A, Guillemin F, Falissard B, Schwartz CE, Hardouin JB, Sébille V. Guilleux A, et al. Among authors: sebille v. Qual Life Res. 2015 Mar;24(3):553-64. doi: 10.1007/s11136-014-0876-4. Epub 2014 Dec 5. Qual Life Res. 2015. PMID: 25477228 Free article.

8

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: sebille v. 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.

9

Power and sample size determination for the group comparison of patient-reported outcomes with Rasch family models.

Blanchin M, Hardouin JB, Guillemin F, Falissard B, Sébille V. Blanchin M, et al. Among authors: sebille v. PLoS One. 2013;8(2):e57279. doi: 10.1371/journal.pone.0057279. Epub 2013 Feb 28. PLoS One. 2013. PMID: 23468955 Free PMC article.

10

Power and sample size determination in the Rasch model: evaluation of the robustness of a numerical method to non-normality of the latent trait.

Guilleux A, Blanchin M, Hardouin JB, Sébille V. Guilleux A, et al. Among authors: sebille v. PLoS One. 2014 Jan 10;9(1):e83652. doi: 10.1371/journal.pone.0083652. eCollection 2014. PLoS One. 2014. PMID: 24427276 Free PMC article.

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