Source: http://anaqol.org/ea4275/index.php?file=editonepers.php&idpers=134
Timestamp: 2019-04-23 04:18:16+00:00

Document:
1. Forestier B, Anthoine E, Reguiai Z, Fohrer C, Blanchin M (2019) A systematic review of dimensions evaluating patient experience in chronic illness. Health and Quality of Life Outcomes, 17(1): 19.
2. Salmon M, Blanchin M, Rotonda C, Guillemin F, Sébille V (2017) Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level. Cancer Medicine, 6(11): 2562-2575.
3. Tessier P, Blanchin M, Sébille V (2017) Does the relationship between health-related quality of life and subjective well-being change over time? An exploratory study among breast cancer patients. Social Science & Medicine, 174: 96-103.
4. de Bock E, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Dantan E, Bonnaud-Antignac A, Sébille V (2016) Rasch-family models are more valuable than score-based approaches for analysing longitudinal PRO with intermittent missing data. Statistical Methods in Medical Research , 25(5): 2067–2087.
5. Bourdon M, Blanchin M, Tessier P, Campone M, Quéreux G, Dravet F, Sébille V, Bonnaud-Antignac A (2016) Changes in quality of life after a diagnosis of cancer: A two-year study comparing breast cancer and melanoma patients. Quality of Life Research, 25(8): 1969-1979.
6. Blanchin M, Hardouin JB, Bonnaud-Antignac A, Sébille V (2016) Analysis of longitudinal patient reported outcomes data with Classical Test Theory and Rasch-based methods: an application on health-related quality of life in breast cancer patients. Statistica Applicata – Italian Journal of Applied Statistics, 27(1): 41-56.
7. Blanchin M, Sébille V, Guilleux A, Hardouin JB (2016) The Guttman errors as a tool for response shift detection at subgroup and item levels. Quality of Life Research, 25(6): 1385-1393.
8. Feddag ML, Sébille V, Blanchin M, Hardouin JB (2015) Estimation of parameters of the Rasch model and comparison of groups in presence of locally dependent items. Journal of Applied Measurement, 16(3): 268-77.
9. Vanier A, Sébille V, Blanchin M, Guilleux A, Hardouin JB (2015) Overall performance of Oort's procedure for response shift detection at item-level: a pilot simulation study. Quality of life research, 24(8): 1799-807.
10. Blanchin M, Dauchy S, Cano A, Brédart A, Aaronson N, Hardouin JB (2015) Validation of the French translation-adaptation of the Impact of Cancer version 2 (IOCv2) questionnaire on a breast cancer survivors population. Health and Quality of Life Outcomes, 13: 110.
11. Hardouin JB, Blanchin M, Feddag ML, Le Neel T, Perrot B, Sébille V (2015) Power and sample size determination for group comparison on Patient Reported Outcomes using polytomous Rasch models. Statistics in Medicine, 34(16): 2444-55.
12. Blanchin M, Guilleux A, Perrot B, Bonnaud-Antignac A, Hardouin JB, Sébille V (2015) Power and sample size determination for the group comparison of patient-reported outcomes using the Rasch model: impact of a misspecification of the parameters. BMC Medical Research Methodology, 15: 21.
13. Guilleux A, Blanchin M, Vanier A, Guillemin F, Falissard B, Schwartz C, Hardouin JB, Sébille V (2015) RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies. Quality of life research, 24(3): 553-564.
14. de Bock E, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Sébille V (2015) Assessment of score and Rasch-based methods for group comparison of longitudinal Patient-Reported Outcomes with intermittent missing data (informative and non-informative). Quality of Life Research, 24(1): 19-29.
15. Feddag ML, Blanchin M, Hardouin JB, Sébille V (2014) Power analysis on the time effect for the longitudinal Rasch model. Journal of Applied Measurement, 15(3): 292-301.
16. Sébille V, Blanchin M, Guillemin F, Falissard B, Hardouin JB (2014) A simple ratio-based approach for power and sample size determination for Rasch analysis. BMC Medical Research Methodology, 14(1): 87.
17. Rouquette A, Blanchin M, Sébille V, Guillemin F, Côté SM, Falissard B, Hardouin JB (2014) Determination of the Minimal Clinically Important Difference using Item Response Theory Models: an attempt to solve the issue of the association with baseline score. Journal of Clinical Epidemiology, 64(4): 433-440.
18. Guilleux A, Blanchin M, Hardouin JB, Sébille V (2014) Power and sample size determination in the Rasch model: Evaluation of the robustness of a numerical method to non-normality of the latent trait. Plos One, 9(1): e0083652.
19. Blanchin M, Hardouin JB, Guillemin F, Falissard B, Sébille V (2013) Power and sample size determination for the group comparison of patient-reported outcomes with Rasch family models. PLoS ONE, 8(2): e57279.
20. Blanchin M, Hardouin JB, Le Neel T, Kubis G, Blanchard C, Mirallié E, Sébille V (2011) Comparison of CTT and IRT based-approach for the analysis of longitudinal Patient Reported Outcome . Statistics in Medicine, 30(8): 825-838.
21. Blanchin M, Hardouin JB, Le Neel T, Kubis G, Sébille V (2011) Analysis of longitudinal Patient-Reported Outcomes with informative and non-informative dropout: Comparison of CTT and Rasch-based methods. International Journal of Applied Mathematics & Statistics (IJAMAS), 24: SI-11A.
1. Bonnaud-Antignac A, Bourdon M, Tessier P, Sébille V, Blanchin M, Dravet F, Quéreux G (2016) Qualité de vie et changements psychologiques pendant et après les traitements d'un cancer du sein ou d'un mélanome. In Evolutions sociales, Innovations et politiques : Nouveaux enjeux en psychologie de la santé (AM Etienne et I Bragard): Editions des archives contemporaines.
1. Blanchin M (2011) Comparaison des approches CTT et IRT pour l'analyse des effets temps et groupe de données longitudinales de type Patient-Reported Outcomes et impact du dropout. Thèse de doctorat de l'Université de Nantes - Ecole doctorale Biologie Santé, 219 pages.
2. (Soumis) Bourdon M, Blanchin M, Campone M, Quéreux G, Dravet F, Sébille V, Bonnaud-Antignac A (2018) A comparison of post-traumatic growth changes in breast cancer and melanoma.
3. (Soumis) Blanchin M, Guilleux A, Hardouin JB, Sébille V (2017) Searching for an optimal SEM-based method to assess response shift at item level: a simulation study.
4. (Soumis) Blanchin M, Hardouin JB, Le Neel T, Kubis G, Sébille V (2016) CTT and Rasch-based approaches for joint analysis of group and time effects of longitudinal Patient Reported Outcomes: impact of dropout mechanisms..
1. Blanchin M., Guilleux A., Hardouin J.B., Sébille V. Comparison of methods for response shift detection at item level: a simulation study. 25th Annual Conference of the ISOQOL, 25-27 october 2018, Dublin, Ireland, Quality of life research 2018, 27:S126., 2018.
2. Brisson P., Sébille V., Hardouin J.B., Blanchin M. Evaluation of an algorithm to identify response shift and its determinants at the item level using Rasch family models – A simulation study. 25th Annual Conference of the ISOQOL, 25-27 october 2018, Dublin, Ireland, Quality of life research 2018, 27:S31., 2018.
3. Toscano A., Blanchin M., Bonnaud-Antignac A., Bourdon M., Sébille V. Associations between locus of control, coping, and quality of life changes in patients with breast cancer or melanoma. 9th European Conference on Positive Psychology, 27-30 juin 2018, Budapest, 2018.
4. Hardouin J.B., Blanchin M., Vanier A., Sébille V. Several Rasch's and Mokken's models-based algorithms to detect DIF and Response Shift in health study. Rasch Probabilistic Models Conference, 17-19 January 2018, Perth, Australia, 2018.
5. Blanchin M., Salmon M., Rotonda C., Guillemin F., Sébille V. Identification of response shift at a subgroup level in cancer-related fatigue in breast cancer patients. 24th Annual Conference of the ISOQOL, 18-21 october 2017, Philadelphia, USA, 2017.
6. Blanchin M., Guilleux A., Hardouin J.B., Sébille V. A simulation study for comparison of Item Response Theory and Structural Equation Modeling: Response shift detection at the item level. Workshop “Measuring quality of life: some methodological issues” - Department of psychology, Università degli studi di Torino, 18 novembre 2016, 2016.
7. Hardouin J.B., Vanier A., Blanchin M., Sébille V. Minimal clinically important difference determination for patient reported outcomes in presence of esponse shift: the MIDIPRES project. 23th Annual Conference of the ISOQOL, 19-22 october 2016, Copenhaguen, Denmark, Quality of life research 2016, 25:14-15, 2016.
8. Blanchin M., Hardouin J.B., Sébille V. Response shift detection at item level using Item Response Theory models: influence of using fixed item difficulties. 23rd Annual Conference of the ISOQOL, October 19-22 2016, Copenhagen, Denmark, Quality of life research 2016, 25:61-62, 2016.
9. Blanchin M., Sébille V., Guilleux A., Hardouin J.B. A Guttman errors based method for response shift detection at the individual and item levels. Symposium Response shift effects at the item level. 22nd Annual Conference of the ISOQOL, October 21-24 2015, Vancouver, Canada, Quality of life research 2015, 24: 11, 2015.
10. Guilleux A., Blanchin M., Hardouin J.B., Sébille V. Evaluation of the Oort procedure with simulation study for response shift detection at item level. 22nd Annual Conference of the ISOQOL, October 21-24 2015, Vancouver, Canada, 2015, Quality of life research 2015, 24: 64, 2015.
11. Hardouin J.B., Blanchin M., Sébille V. Use of non parametric item response theory to detect item-level response shift. 22th Annual Conference of the ISOQOL, 21-24 october 2016, Vancouver, Canada, Quality of life research 2015, 24: 11, 2015.
12. Blanchin M., Guilleux A., Hardouin J.B., Sébille V. Assessing change in longitudinal PROMs studies: Using IRT polytomous models to detect and adjust for response shift. 43rd Annual Meeting of the Statistical Society of Canada, June 14-17 2015, Halifax, Canada, 2015.
13. Blanchin M., de Bock E., Kubis G., Le Neel T., Sébille V., Hardouin J.B. Rasch and CTT-based approaches for joint analysis of group and time effects of longitudinal Patient Reported Outcomes: impact of informative and non-informative missing data. 4th International Outcome Measurement Conference, April 21-22 2015, Chicago, USA, 2015.
14. Blanchin M., Guilleux A., Vanier A., Hardouin J.B., Sébille V. Comparison of Item Response Theory and Structural Equation Models for response shift detection at the item level. 21th annual conference of ISOQOL, 15-18 october 2014, Berlin, Germany, Quality of life research 2014, 23: 16-17, 2014.
15. Hardouin J.B., Blanchin M., Sébille V. Impact of response-shift on the interpretation of a longitudinal structural equations model: an application on the SATISQOL study. Chronic diseases, adaptation and perceived health: stakes and future, 3-6 juin 2014, Nancy, 2014.
16. Sébille V., Blanchin M., Guilleux A., Vanier A., Guillemin F., Hardouin J.B. Item Response Theory Models for response shift detection with missing data in patient-reported outcomes in longitudinal clinical studies. Sympsium Response Shift and Missing data. 20th annual conference of the ISOQOL, October 9-12, 2013, Miami (USA), 2013, Quality of life research 2013, 22, 2013.
17. Blanchin M., Hardouin J.B., Sébille V. Power and sample size determination for the group comparison of PROs in IRT: impact of a misspecification of the parameters . 20th annual conference of the ISOQOL, October 9-12, 2013, Miami (USA), Quality of life research 2013, 22, 2013.
18. Sébille V., Blanchin M., Hardouin J.B. A simple ratio-based approach for power and sample size determination in Rasch family models . 20th annual conference of the ISOQOL, October 9-12, 2013, Miami (USA), Quality of life research 2013, 22, 2013.
19. Guilleux A., Blanchin M., Hardouin J.B., Sébille V. Interest of Item Response Theory (IRT) to detect and interpret Response-Shift in presence of missing data. Journées scientifiques de l’Université de Nantes, 7 juin 2013, Nantes, France, 2013.
20. de Bock E., Hardouin J.B., Blanchin M., Le Neel T., Kubis G., Dantan E., Sébille V. Analysis of longitudinal Patient-Reported Outcomes with intermittent missing data (informative and non informative): comparison of score and Rasch-based methods. 19th Annual Conference of ISOQOL, 24-27 october 2012, Budapest, Hongrie, Quality of life research 2012, 21: 42-43, 2012.
21. Blanchin M., Hardouin J.B., Guilleux A., Sébille V. Power and sample size determination for the group comparison of PROs in IRT: robustness of a method based on the Cramer-Rao bound. 19th Annual Conference of ISOQOL, 24-27 october 2012, Budapest, Hongrie, Quality of life research 2012, 21: 21, 2012.
22. Sébille V., Blanchin M., Feddag M.L., Amri S., Le Neel T., Kubis G., Guillemin F., Falissard B., Hardouin J.B. Methodological issues regarding the planning and the analyses of PRO related studies. 6th Congress of the Italian Society of Medical Statistics and Clinical Epidemiology (SISMEC), Ancona, Italia, 2011.
23. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Sébille V. Comparison of three methods for the analysis of longitudinal Patient Reported Outcomes. Probabilistic models for measurement in education, psychology, social science and health, June 13-16, 2010, 2010.
24. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Sébille V. Comparison of three methods for the analysis of longitudinal patient reported outcomes. 16th International Meeting of the Psychometric Society, 2009.
2. Blanchin M., Guilleux A., Hardouin J.B., Sébille V. Comparison of methods for response shift detection at item level: a simulation study . 25th Annual Conference of the ISOQOL, 25-27 october 2018, Dublin, Ireland, 2018.
3. Enjalbert L., Hardouin J.B., Blanchin M., Giral M., Meurette A., Sébille V. Evaluation of quality of life changes in patients on waiting list for kidney transplantation using growth mixture models coupled with latent class analysis. 25th Annual Conference of the ISOQOL, 25-27 october 2018, Dublin, Ireland, Quality of life research 2018, 27:S144-S145, 2018.
4. Vanier A., Malatier L., Blanchin M., Hardouin J.B., Sébille V. What can detect Oort's procedure in terms of size of response shift effect when used in various empirical realistic situations at domain-level? A simulation study. 24th Annual Conference of the ISOQOL, 18-21 october 2017, Philadelphia, USA, Quality of life research 2017, 26:71, 2017.
5. Sébille V., Hammas K., Bonnaud-Antignac A., Blanchin M. Identification of response shift at the item level on quality of life changes in breast cancer and melanoma patients using Rasch family models – what is the impact of covariates?. 24th Annual Conference of the ISOQOL, 18-21 october 2017, Philadelphia, USA, 2017.
6. Toscano A., Blanchin M., Bonnaud-Antignac A., Sébille V. Locus of control and coping as predictors of the change of Health-Related Quality of Life over time in breast cancer and melanoma patients. 24thAnnual Conference of the ISOQOL, 18-21 october 2017, Philadelphia, USA, 2017.
7. Blanchin M., Guilleux A., Vanier A., Hardouin J.B., Sébille V. Response shift detection at the item level – A comparison of Item Response Theory and Structural Equation Models-based methods. 22nd Annual Conference of the ISOQOL, 21-24 october 2015, Vancouver, Canada, 2015, Quality of life research 2015, 24: 148, 2015.
8. Vanier A., Sébille V., Blanchin M., Guilleux A., Hardouin J.B. Power and Type-I-Error of global assessment of response shift occurrence using Likelihood-Ratio Test or information criteria in Oort’s procedure: a simulation study. 21th annual conference of ISOQOL, 15-18 october 2014, Berlin, Germany, Quality of life research 2014, 23: 99-100, 2014.
9. Guilleux A., Blanchin M., Vanier A., Hardouin J.B., Sébille V. Searching for an optimal SEM-based method for response shift detection in longitudinal patient-reported outcomes studies – A simulation study. 21th annual conference of ISOQOL, 15-18 october 2014, Berlin, Germany, Quality of life research 2014, 23: 184, 2014.
10. Blanchin M., Dauchy S., Cano A., Brédart A., Aaronson N., Hardouin J.B. Validation of the French translation-adaptation of the Impact of Cancer version 2 (IOCv2) questionnaire on a breast cancer survivors population. 21th annual conference of ISOQOL, 15-18 october 2014, Berlin, Germany, Quality of life research 2014, 23: 165-166, 2014.
11. Perrot B., Le Neel T., Hamel J.F., Blanchin M., Sébille V., Hardouin J.B. PRO-Online: a free online software to analyse patient-reported outcomes using various paradigms of data analysis. 21h Annual Conference of the ISOQOL, 15-18 october 2014, Berlin, Germany, Quality of life research 2014, 23: 118-119, 2014.
12. Hardouin J.B., Blanchin M., Sébille V. A Guttman’s errors based method for Response-Shift detection at the individual level: algorithm and comparison with the Ahmed’s procedure. 21th annual conference of ISOQOL, 15-18 october 2014, Berlin, Germany, Quality of life research 2014, 23: 81, 2014.
13. Hardouin J.B., Blanchin M., Hamel J.F., Le Neel T., Sébille V. Online analyses of PRO using CTT and IRT methods for the validation or the analysis of scale or for the planning of studies. 20th annual conference of the ISOQOL, October 9-12, 2013, Miami (USA), Quality of life research 2013, 22, 2013.
14. Rouquette A., Blanchin M., Sébille V., Guillemin F., Côté S.M., Falissard B., Hardouin J.B. Determination of the Minimal Clinically Important Difference (MCID) using Item Response Theory (IRT) models: an attempt to solve the issue of the association with baseline score. International workshop on "Response-Shift and subjective measures in health science", 7 juin 2013, Nantes, 2013.
15. de Bock E., Hardouin J.B., Blanchin M., Le Neel T., Kubis G., Sébille V. Analysis of longitudinal Patient-Reported Outcomes with intermittent missing data (informative and non informative): comparison of score or Rasch-based methods. International Workshop on "Patient Reported Outcomes and Quality of Life", Annales de l'ISUP (2011), 55(2): 43-46, 2011.
16. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Sébille V. Analysis of longitudinal Patient Reported Outcomes with missing data. 31st annual conference of the international society of clinical biostatistics (ISCB), August 31-September 2, 2010, 2010.
17. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Sébille V. Comparison of three methods for the analysis of longitudinal Patient Reported Outcomes. 6th International Meeting on Recent Advances & Trends in Statistics Applied to Clinical Trials, 2009.
18. Blanchin M., Hardouin J.B., Le Neel T., Bonnaud-Antignac A., Sébille V. Comparison of three methods for the analysis of longitudinal Patient Reported Outcomes. Journées Scientifiques de l’Université de Nantes, juin 2008, Nantes, 2008.
1. Bourdon M., Blanchin M., Tessier P., Campone M., Quéreux G., Dravet F., Sébille V., Bonnaud-Antignac A. Etude Longitudinale des Changements psychologiques et Comportementaux suite à un CAncer du sein ou à un mélanome (ELCCA) : évolution de la fatigue dans les deux années suivant le diagnostic. Fatigue liée au cancer: regards croisés, 25 octobre 2018, Le Mans, 2018.
2. Toscano A., Blanchin M., Bonnaud-Antignac A., Bourdon M., Sébille V. Quels liens entre les stratégies de coping, le contrôle perçu et la qualité de vie au cours du temps? Étude auprès de patients atteints d’un cancer du sein ou d’un mélanome. 10e congrès de l'Association Francophone de Psychologie de la Santé (AFPSA), 13-15 juin 2018, Metz, 2018.
3. Blanchin M., Hammas K., Hardouin J.B., Sébille V. Comparaison de la qualité de vie des patients atteints de cancer du sein ou de mélanome en prenant en compte l’adaptation des patients à leur maladie (« response shift »). 12e Conférence francophone d’Épidémiologie clinique 25e Journée des statisticiens des Centres de lutte contre le cancer, 30 mai-1er juin 2018, Nice, France, Revues d'Epidémiologie et de Santé Publique 2018, 66(3): S128-S129, 2018.
4. Blanchin M., Guilleux A., Hardouin J.B., Sébille V. Comparaison de deux méthodes basées sur la théorie de réponse aux items et les modèles à équations structurelles pour la détection du response shift. 10e conférence francophone d'épidémiologie clinique (EPICLIN 2016) et 23e journées des statisticiens des centres de lutte contre le cancer, 25-27 mai 2016, Strasbourg, 2016.
5. Blanchin M., Dauchy S., Cano A., Brédart A., Hardouin J.B. « Je ne suis pas un survivant » : validation française de l'échelle de qualité de vie de l’apres cancer "Impact of Cancer Scale v2". 2e congrès de la Société Française du Cancer, 22-24 juin 2015, Paris, 2015.
6. de Bock E., Hardouin J.B., Blanchin M., Le Neel T., Kubis G., Sébille V. Comparaison de la CTT et de l'IRT pour analyser des PRO longitudinaux comportant des données manquantes intermittentes. Chronic diseases, adaptation and perceived health: stakes and future - Young Researchers Days, 3-6 juin 2014, Nancy, 2014.
7. Sébille V., Blanchin M., Guilleux A., Rouquette A., Feddag M.L., Le Neel T., Kubis G., Falissard B., Guillemin F., Hardouin J.B. How could we design studies on PRO data? The PLANIPRO project. Evaluation et analyse de la qualité de vie : nouveaux développements méthodologiques, 3-4 avril 2014, Montpellier, 2014.
8. Blanchin M., Guilleux A., Vanier A., Hardouin J.B., Sébille V. Development of a RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection in longitudinal patient-reported outcomes studies. Evaluation et analyse de la qualité de vie : nouveaux développements méthodologiques, 3-4 avril 2014, Montpellier, 2014.
9. Guilleux A., Blanchin M., Vanier A., Hardouin J.B., Sébille V. Comparison of Structural Equations Modeling (SEM) and Item Response Theory (IRT) models to detect and take into account Response-Shift. Quels apports des mathématiques à la mesure de la qualité de vie en oncologie, 11-12 septembre 2012, Marseille, France, 2013.
10. Hardouin J.B., de Bock E., Blanchin M., Hamel J.F., Sébille V. Interest of Item Response Theory (IRT) models for handling missing data in cross-sectional or longitudinal designs . Quels apports des mathématiques à la mesure de la qualité de vie en oncologie, 11-12 septembre 2012, Marseille, France, 2013.
11. Rouquette A., Blanchin M., Sébille V., Guillemin F., Côté S.M., Falissard B., Hardouin J.B. Utilisation des modèles issus de la Théorie de Réponse à l’Item (IRT) pour la détermination de la Différence Minimale Cliniquement Pertinente d’un questionnaire. EPICLIN 7 - 7ème Conférence Francophone d'Épidémiologie Clinique, 16 & 17 mai 2013 - Paris, 2013.
12. de Bock E., Hardouin J.B., Blanchin M., Le Neel T., Kubis G., Dantan E., Sébille V. Analyse de PRO recueillis de façon longitudinale et comportant des données manquantes intermittentes potentiellement informatives : comparaison de modèles issus de la théorie classique des tests et de la théorie de réponse aux items. GDR statistique et santé, 20 et 21 septembre 2012, Rennes, France, 2012.
13. Feddag M.L., Hardouin J.B., Blanchin M., Sébille V. Analyse de la puissance d'une étude transversale à deux groupes pour le modèle crédit partiel. 44e journées de la société française de statistique (SFdS), Bruxelles, 21-25 mai 2012, 2012.
14. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Sébille V. Comparaison de trois méthodes d’analyse des variables latentes longitudinales,. 41èmes Journées de Statistique - Bordeaux, 2009.
1. Enjalbert L., Hardouin J.B., Blanchin M., Giral M., Meurette A., Sébille V. Évaluation de l’évolution de la qualité de vie des patients préemptifs et dialysés sur liste d’attente d’une transplantation rénale : étude de l’invariance de la mesure. 12e Conférence francophone d’Épidémiologie clinique 25e Journée des statisticiens des Centres de lutte contre le cancer, 30 mai-1er juin 2018, Nice, France, Revues d'Epidémiologie et de Santé Publique 2018, 66(3): S150, 2018.
2. Blanchin M., Hardouin J.B., Tessier P., Bonnaud-Antignac A., Sébille V. Power and sample size using Rasch model: A longitudinal study of psychosocial changes after cancer. Chronic diseases, adaptation and perceived health: stakes and future - Young Researchers Days, 3-6 juin 2014, Nancy, 2014.
3. Guilleux A., Blanchin M., Vanier A., Hardouin J.B., Sébille V. Searching for an optimal SEM-based method for response shift detection in longitudinal patient-reported outcomes studies – A simulation study. Chronic diseases, adaptation and perceived health: stakes and future - Young Researchers Days, 3-6 juin 2014, Nancy, 2014.
4. Perrot B., Le Neel T., Hamel J.F., Blanchin M., Sébille V., Hardouin J.B. Online analyses of PRO using CTT and IRT methods for the validation or the analysis of scales or for the planning of studies. Chronic diseases, adaptation and perceived health: stakes and future - Young Researchers Days, 3-6 juin 2014, Nancy, 2014.
5. Guilleux A., Blanchin M., Tessier P., Bonnaud-Antignac A. Validation française d’une échelle de qualité de vie pour patients en rémission de cancer. Journées Scientifiques de l’Université de Nantes, 9 juin 2009, Nantes, 2009.
6. Guilleux A., Blanchin M., Tessier P., Bonnaud-Antignac A. Validation française d'une échelle de Qualité de Vie pour les patients en rémission de Cancer. Recherche en Pharmaco-épidémiologie, Nantes, 2009.
7. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Sébille V. Comparison of three methods for the analysis of longitudinal Patient Reported Outcomes. Epidémiologie et Biomètrie 2008, 2008.
8. Blanchin M., Hardouin J.B., Le Neel T., Kubis G., Bonnaud-Antignac A., Sébille V. Comparison of three methods for the analysis of longitudinal Patient Reported Outcomes. Biostatistique et mesures subjectives en santé, Nantes, 2008, 2008.

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