UMR INSERM 1246 - SPHERE
MethodS in Patients-centered outcomes
and HEalth ResEarch

INSERM Univ Nantes Univ Tours
EA4275-SPHERE
  • Home
  • Team
  • Organigram
  • Links
  • Legal
  • Contact

Research

Topics Publications In progress publications Communications

Packages

AnaQol Project PRO-online R Packages Online R-package

Life of the unit

Projects Collaborations PhD thesis Traineeships Traineeships propositions Seminars

Next seminars

Last publications

02 septembre 2020 Devos G, Clark L, Bowden-Jones H, Grall-Bronnec M, Challet G, Khazaal Y, Maurage P, Billieux J (2020) The joint role of impulsivity and distorted cognitions in recreational and problem gambling: A cluster analytic approach. Journal of Affective Disorders(127): 473-482.

19 novembre 2019 Enjalbert L, Hardouin JB, Blanchin M, Giral M, Morelon E, Cassuto E, Meurette A, Sébille V (2019) Comparison of longitudinal quality of life outcomes in preemptive and dialyzed patients on waiting list for kidney transplantation. Quality of Life Research: .

30 octobre 2019 Blanchin M, Guilleux A, Hardouin JB, Sébille V (2019) Comparison of SEM, IRT and RMT-based methods for response shift detection at item level: a simulation study. Statistical Methods in Medical Research: .

02 octobre 2019 Lascarrou J, Merdji H, Le Gouge A, Colin G, Grillet G, Girardie P, Coupez E, Dequin PF, Cariou A, Boulain T, Brule N, Frat JP, Asfar P, Landais M, Plantefeve G, Quenot J, Chakarian J, Sirodot M, Legriel S, Letheulle J, Thevenin D, Desachy A, Delahaye A, Botoc V, Vimeux S, Martino F, Giraudeau B, Reignier J, CRICS-TIGGERSEP Group (2019) Targeted Temperature Management for Cardiac Arrest with Nonshockable Rhythm. N Engl J Med: doi: 10.1056/NEJMoa1906661. [Epub ahead of print].

01 octobre 2019 Bourdon M, Blanchin M, Campone M, Quéreux G, Dravet F, Sébille V, Bonnaud-Antignac A (2019) A comparison of post-traumatic growth changes in breast cancer and melanoma. Health psychology, 38(10): 878-887.

Updated

11 décembre 2019

Comparison of SEM, IRT and RMT-based methods for response shift detection at item level: a simulation study


Auteurs

  • Blanchin Myriam - Ingénieur de recherche en Biostatistique  - Université de Nantes - UFR de Pharmacie 

  • Guilleux Alice - Ingénieure biostatisticienne et doctorante  - Université de Nantes - Ecole doctorale Biologie-Santé - ED502 

  • Hardouin Jean-Benoit - Maitre de Conférences - HDR - Biostatistique  - UFR de Pharmacie 

  • Sébille Véronique - PU-PH Biostatistique - Directrice de l'unité SPHERE  - Université de Nantes - UFR de Pharmacie 


Description

Nature : Articles dans une revue internationale
Thématique : Biostatistique et Mesures Subjectives en Santé
Rang : Rang A : publication porté par un membre de l'unité, dans le cadre de l'unité
Axe de recherche principal: Méthodologie pour les Mesures Subjectives en Santé
Sujet : Response Shift : détection; interprétation

Blanchin M, Guilleux A, Hardouin JB, Sébille V (2019) Comparison of SEM, IRT and RMT-based methods for response shift detection at item level: a simulation study. Statistical Methods in Medical Research: .

Lien


Projet(s) ayant donné lieu à cette publication

PROGRES : Évaluation de la santé perçue des patients atteints de cancer – Méthodes pour l’identification et la prise en compte de l’adaptation des patients à leur état de santé (response shift) dans les études longitudinales en présence de données manquantes


Thèse(s) ou stage(s) lié(s) à cette publication

Alice Guilleux : Évaluation de la santé perçue des patients atteints de cancer – Méthodes pour l’identification et la prise en compte de l’adaptation des patients à leur état de santé (response shift) dans les études longitudinales en présence de données manquantes (soutenue le 31 décembre 2016)


Publications sur le même sujet (Response Shift : détection; interprétation)

  • Hamel JF, Sébille V, Le Neel T, Kubis G, Boyer F, Hardouin JB (2017) What are the appropriate methods for analyzing patients reported outcomes in randomized trials when data are missing?. Statistical Methods in Medical Research, 26(6): 2897-2908.

  • Lamirault G, de Bock E, Sébille V, Delasalle B, Roncalli J, Susen S, Piot C, Trochu JN, Teiger E, Neuder Y, Le Tourneau T, Manrique A, Hardouin JB, Lemarchand P (2017) Sustained quality of life improvement after intracoronary injection of autologous bone marrow cells in the setting of acute myocardial infarction: results from the BONAMI trial. Quality of Life Research, 26(1): 121-125.

  • 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.

  • (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..

  • 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.

  • 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.

  • Hamel JF, Hardouin JB, Le Neel T, Kubis G, Roquelaure Y, Sébille V (2012) Study of different methods for comparing groups by analysis of subjective health measurements. PLoS One, 7(10): e44695.

  • 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.

  • 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.

  • Sébille V, Hardouin JB (2008) Sequential Analysis of Quality of Life Measurements using Mixed Rasch Models. In Statistical models and methods for biomedical and technical systems (Vonta F, Nikulin M, Limnios N, Huber C (eds.)): Birkhäuser: Boston. Chapter 24: 333-338.


Publications ayant le même axe principal de recherche (Méthodologie pour les Mesures Subjectives en Santé)

  • (Soumis) Vanier A, Sébille V, Blanchin M, Hardouin JB (2019) Soumis, The Minimal Perceived Change : a formal model of the Responder Definition according to the patient’s meaning of change for Patient-Reported Outcomes data analysis and interpretation.

  • Ju A, Josephson M, Butt Z, Jowsey-Gregoire S, Tan J, Taylor Q, Fowler K, Dobbels F, Caskey F, Jha V, Locke J, Knoll G, Ahn C, Hanson C, Sautenet B, Manera K, Craig J, Howell M, Rutherford C, Tong A, SONG-Tx Lige Participation Workshop Investigators (2019) Establishing a Core Outcome Measure for Life Participation: a Standardized Outcomes in Nephrology - Kidney Transplantation (SONG-Tx) Consensus Workshop Report. Transplantation, 103(6): 1199-1205.

  • Rouquette A, Hardouin JB, Vanhaesebrouck A, Sébille V, Coste J (2019) Differential Item Functioning (DIF) in composite health measurement scale: recommendations for characterizing DIF with meaningful consequences within the Rasch model framework.. PLOS One, 14(4): e0215073.

  • (Soumis) Woaye Hune P, Hardouin JB, Lehur PA, Meurette A, Vanier A (2019) En review, Practical issues encountered while determining Minimal Clinically Important Difference in Patient-Reported Outcomes..

  • Cho Y, Sautenet B, Gutman T, Rangan G, Craig J, Ong A, Chapman A, Ahn C, Coolican H, Kao J, Gansevoort R, Perrone R, Harris T, Torres V, Pei Y, Kerr P, Ryan J, Johnson D, Viecelli A, Geneste C, Kim H, Kim Y, Oh Y, Teixeira-Pinto A, Logeman C, Howell M, Ju A, Manera K, Tong A (2019) Identifying patient-important outcomes in polycystic kidney disease: an international nominal group technique study. Nephrology (Carlton): doi: 10.1111/nep.13566. [Epub ahead of print].

  • Manera K, Johnson D, Craig J, Shen J, Ruiz L, Wang A, Yip T, Fung S, Tong M, Lee A, Cho Y, Viecelli A, Sautenet B, Teixeira-Pinto A, Brown E, Brunier G, Dong J, Dunning T, Mehrotra R, Naicker S, Pecoits-Filho R, Perl J, Wilkie M, Tong A (2019) Patient and Caregiver Priorities for Outcomes in Peritoneal Dialysis: Multinational Nominal Group Technique Study. Clin J Am Soc Nephrol, 14(1): 74-83.

  • Sautenet B, Tong A, Chapman J, Warrens A, Rosenbloom D, Wong G, Gill J, Budde K, Marson L, Josephson M, Reese P, Evangelidis N, Craig J (2018) Range and consistency of outcomes reported in randomized trials conducted in kidney transplant recipients: a systematic review. Transplantation, 102(12): 2065-71.

  • Ju A, Josephson M, Burucoa C, Joyeux-Faure M, Tandé D, Tawa A, Fournier G, Do-Pham G, Casey R, Jézéquel P, Lochon B, Knoll G, Ahn C, Hanson C, Sautenet B, Manera K, Craig J, Howell M, Rusch E, Tong A, SONG-Tx Lige Participation Workshop Investigators (2018)

  • Dibao-Dina C, Angoulvant D, Lebeau JP, Peurois J, Abdallah El Hirtsi K, Lehr-Drylewicz AM (2018) Patients' adherence to optimal therapeutic, lifestyle and risk factors recommendations after myocardial infarction: Six years follow-up in primary care. PloS One, 13(9): e0202986. doi: 10.1371/journal.pone.0202986. eCollection 2018.

  • O'Lone E, Viecelli A, Craig J, Tong A, Sautenet B, Roy D, Herrington W, Herzog C, Jafar T, Jardine M, Krane V, Levin A, Malyszko J, Rocco M, Strippoli G, Tonelli M, Wang A, Wanner C, Zannad F, Winkelmayer W, Webster AC, Wheeler DC (2018) Cardiovascular Outcomes Reported in Hemodialysis Trials. J Am Coll Cardiol, 71(24): 2802-10.

  • (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.

  • Hamel JF, Sébille V, Le Neel T, Kubis G, Boyer F, Hardouin JB (2017) What are the appropriate methods for analyzing patients reported outcomes in randomized trials when data are missing?. Statistical Methods in Medical Research, 26(6): 2897-2908.

  • 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.

  • Denis F, Bizien P, Tubert-Jeanin S, Hamad M, Trojak B, Rude N, Hardouin JB (2017) A Rasch analysis between schizophrenic patients and the general population. Behavioral neuroscience, 8: 139-146.

  • Vanier A, Falissard B, Sébille V, Hardouin JB (2017) The complexity of interpreting changes observed over time in Health-Related Quality of Life: a short overview of 15 years of research on response shift theory. In Guillemin F, Leplège A, Briançon S, Spitz E, Coste J. Perceived health and adaptation in chronic disease. Stakes and future challenge (Taylor and Francis): 202-230.

  • Lamirault G, de Bock E, Sébille V, Delasalle B, Roncalli J, Susen S, Piot C, Trochu JN, Teiger E, Neuder Y, Le Tourneau T, Manrique A, Hardouin JB, Lemarchand P (2017) Sustained quality of life improvement after intracoronary injection of autologous bone marrow cells in the setting of acute myocardial infarction: results from the BONAMI trial. Quality of Life Research, 26(1): 121-125.

  • 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.

  • 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.

  • Vanier A (2016) Thèse de science biostatistique - Université de Nantes. The concept, measurement and integration of response shift phenomenon in Patient-Reported Outcomes data analyses. On certain methodological and statistical considerations. , 174 pages.

  • (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..

  • Rouquette A, Côté SM, Hardouin JB, Falissard B (2016) Rasch modelling to deal with changes in the questionnaires used during long-term follow-up of cohort studies: a simulation study.. BMC Med Res Methodol, 16(1): 105.

  • Hamel JF, Sébille V, Challet G, Hardouin JB (2016) Partial Credit Model: estimations and tests of fit with pcmodel. Stata Journal, 16(2): 464-481.

  • 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.

  • Guillou-Landreat M, Guilleux A, Sauvaget A, Brisson L, Leboucher J, Remaud M, Challet G, Grall-Bronnec M (2016) Factors associated with suicidal risk among a French cohort of problem gamblers seeking treatment. Psychiatry Research, 240: 11-18.

  • Sébille V, Hardouin JB, Giral M, Bonnaud-Antignac A, Tessier P, Papuchon E, Jobert A, Faurel-Paul E, Gentile S, Cassuto E, Morelon E, Rostaing L, Glotz D, Sberro-Soussan R, Foucher Y, Meurette A (2016) Prospective, multicenter, controlled study of quality of life, psychological adjustment process and medical outcomes of patients receiving a preemptive kidney transplant compared to a similar population of recipients after dialysis. BMC Nephrol, 17(1): 11.

  • Sauvaget A, Trojak B, Bulteau S, Jiménez-Murcia S, Fernández-Aranda F, Wolz I, Menchón JM, Achab S, Vanelle J, Grall-Bronnec M (2015) Transcranial direct current stimulation (tDCS) in behavioral and food addiction: a systematic review of efficacy, technical, and methodological issues. Front Neurosci, 9: 349.

  • 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.

  • 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.

  • 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.

  • Vanier A, Leplège A, Hardouin JB, Sébille V, Falissard B (2015) Semantic primes theory may be helpful in designing questionnaires such as to prevent response shift. Journal of Clinical Epidemiology, 68(6): 646-654.

  • Feuillet F, Bellanger L, Hardouin JB, Victorri-Vigneau C, Sébille V (2015) On comparison of clustering methods for pharmacoepidemiological data. Journal of Biopharmaceutical Statistics, 25(4): 843-856.

  • 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.

  • 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.

  • 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.

  • Anthoine E, Moret L, Regnault A, Sébille V, Hardouin JB (2014) Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health and Quality of Life Outcomes, 12: 176.

  • 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.

  • 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.

  • 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.

  • Boyer L, Baumstarck K, Michel P, Boucekine M, Anota A, Bonnetain F, Coste J, Falissard B, Guilleux A, Hardouin JB, Loundou A, Mercier M, Mesbah M, Rouquette A, Sébille V, Verdam M, Ghattas B, Guillemin F, Auquier P (2014) Statistical challenges in quality of life and cancer: New avenues for future researches. Expert Review of Pharmacoeconomics & Outcomes Research, 14(1): 19-22.

  • 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.

  • Schwartz C, Sajobi T, Verdam M, Sébille V, Lix L, Guilleux A, Sprangers M (2014) Method variation in the impact of missing data on response shift detection. Quality of Life Research : .

  • 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.

  • Hamel JF, Hardouin JB, Le Neel T, Kubis G, Roquelaure Y, Sébille V (2012) Study of different methods for comparing groups by analysis of subjective health measurements. PLoS One, 7(10): e44695.

  • Hardouin JB (2012) Validation, Planification et Analyse d’échelles de mesure de concepts latents dans le domaine de la santé. Habilitation à Diriger les Recherches, Ecole doctorale Biologie Santé, 117 pages.

  • Hardouin JB, Amri S, Feddag ML, Sébille V (2012) Towards Power And Sample Size Calculations For Item Response Theory Analysis For The Comparison Of Two Groups Of Patients. Statistics in Medicine, 31(11): 1277-1290.

  • Feddag ML, Hardouin JB, Sébille V (2012) Pairwise- and marginal-likelihood estimation for the mixed Rasch model with binary data . Journal of Statistical Computation and Simulation , 82(3): 419-430.

  • Hardouin JB, Conroy R, Sébille V (2011) 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. BMC Medical Research Methodology, 11(105): 1-13.

  • 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.

  • 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.

  • Hardouin JB, Bonnaud-Antignac A, Sébille V (2011) Non parametric Item Response Theory using Stata. The Stata Journal, 11(1): 30-51.

  • 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.

  • Sébille V, Hardouin JB, Le Neel T, Kubis G, Boyer F, Guillemin F, Falissard B (2010) 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. BMC Medical Research Methodology, 10: 24.

  • Sébille V, Hardouin JB (2008) Sequential Analysis of Quality of Life Measurements using Mixed Rasch Models. In Statistical models and methods for biomedical and technical systems (Vonta F, Nikulin M, Limnios N, Huber C (eds.)): Birkhäuser: Boston. Chapter 24: 333-338.

  • Hardouin JB, Mesbah M (2008) Selection of items fitting a Rasch model. In Mathematical methods for survival analysis, reliability and Quality of life (Eds Huber C., Limnios N., Mesbah M., Nikulin M.): Hermes: Paris. Chapter 17: 255-274..

  • Sébille V, Hardouin JB, Mesbah M (2007) Sequential analysis of latent variables using mixed-effect latent variable models: impact of non-informative and informative missing data. Statistics in Medicine, 26(27): 4889-4904.

  • Hardouin JB, Mesbah M (2007) The SAS macro-program %AnaQol to estimate the parameters of IRT models. Communications in Statistics – Simulation and Computation, 36(2): 437-453.

  • Hardouin JB (2007) Rasch analysis: estimation and tests with the Raschtest module. The Stata Journal, 7(1): 22-44.

  • Golden J, Conroy RM, Golden D, O'Dwyer AM, Hardouin JB (2006) Illness-related stigma, mood and adjustment to illness in persons with Hepatitis C. Social Science and Medicine, 63(12): 3188-98.

  • Sébille V, Mesbah M (2006) Sequential Analysis of Quality of Life Rasch Measurements. In Probability, Statistics and Modelling in Public Health (Springer Statistics ; Nikulin M, Commenges D, Huber C. (eds.) ): 0.

  • Sébille V, Challa T, Mesbah M (2006) Sequential Analysis of Quality of Life Measurements with the Mixed Partial Credit Model. In Advances in Statistical Methods for the Health Sciences (Springer ; Balakrishnan N, Auget J-L, Mesbah M, Molenberghs G. (eds.) ): 0.

  • Hardouin JB (2005) Construction d'échelles d'items unidimensionnelles en qualité de vie. Thèse de doctorat de l'Université René Descartes - Paris 5, 201.

  • Hardouin JB, Mesbah M (2004) Clustering Binary Variables in Subscales using an Extended Rasch model and Akaike Information Criterion. Communication in Statistics – Theory and Methods, 33(6): 1277-1294.

  • Sébille V, Auget JL (2004) Evaluating Health-Related Quality of Life: a case-study of differential item functioning analysis in small trials. Communications in Statistics-Theory and Methods, 33(6): 1403-1428.


Publications liées à l'axe principal de recherche (Méthodologie pour les Mesures Subjectives en Santé)

  • Bulteau S, Sauvaget A, Vanier A, Vanelle J, Poulet E, Brunelin J, Sébille V (2019) Depression Reappraisal and Treatment Effect: Will Response Shift Help Improve the Estimation of Treatment Efficacy in Trials for Mood Disorders?. Front Psychiatry, 10: 420.

  • Tessier P, Thuilliez J (2018) Does freedom make a difference? : An empirical investigation of differences between subjective well-being and perceived capabilities amongst cancer patients.. The European Journal of Health Economics: .

  • Perrot B, Anthoine E, Hardouin JB (2018) Validscale : A Stata module to validate measurement scales. Stata Journal, 18(1): 29-50.

  • Rousselet M, Feuillet F, Gérardin M, Jolliet P, Hardouin JB, Victorri-Vigneau C (2017) The French addictovigilance network clinical assessment: Z-drugs, true false twins. Expert Opinion on Drug safety, 16(9): 1063-1069.

  • Rouquette A, Hardouin JB, Coste J (2016) Differential Item Functioning (DIF) ans subsequent bias in group comparisons using a composite measurement scale: a simulation study. Journal of Applied Measurement, 17(3): 312-334.

  • 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.

  • Péron E, Hardouin JB, Feuillet F, Wainstein L, Chaslerie A, Pivette J, Jolliet P, Victorri-Vigneau C (2016) Selective Serotonin Reuptake Inhibitors, are they all the same? a pharmacoepidemiological approach . Advances in Pharmacoepidemiology and Drug Safety, 5(3): 1000203.

  • Bruneau M, Grall-Bronnec M, Vénisse JL, Romo L, Valleur M, Magalon D, Fatseas M, Chéreau-Boudet I, Luquiens A, JEU Group , Challet G, Hardouin JB (2016) Gambling transitions among adult gamblers: A multi-state model using a Markovian approach applied to the JEU cohort. Addictive Behaviors, 57: 13-20.

  • Wainstein L, Victorri-Vigneau C, Sébille V, Hardouin JB, Feuillet F, Pivette J, Chaslerie A, Jolliet P (2011) Pharmacoepidemiological characterization of psychotropic drugs consumption using a latent class analysis. International Clinical Psychopharmacology, 26(1): 54-62.



UMR INSERM 1246 - SPHERE MethodS for Patients-centered outcomes and Health ResEarches | Webmaster