M. Blanchin

M. Campone, V. Sébille, G. Quéreux, 2019, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

Identifying patterns of adaptation in breast cancer patients with cancer‐related fatigue using response shift analyses at subgroup level

F. Guillemin, C. Rotonda, V. Sébille, 2017, Cancer medicine.

Higher Negative Self-Reference Level in Patients With Personality Disorders and Suicide Attempt(s) History During Biological Treatment for Major Depressive Disorder: Clinical Implications

J. Brunelin, E. Poulet, V. Sébille, 2021, Frontiers in Psychology.

Validation of Generalized Anxiety Disorder 6 (GAD-6)—A Modified Structure of Screening for Anxiety in the Adolescent French Population

C. Baumann, S. Bourion-Bédès, M. Blanchin, 2023, International journal of environmental research and public health.

Comparison of structural equation modelling, item response theory and Rasch measurement theory-based methods for response shift detection at item level: A simulation study

Véronique Sébille, Myriam Blanchin, Alice Guilleux, 2020, Statistical methods in medical research.

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

F. Guillemin, C. Schwartz, B. Falissard, 2015, Quality of Life Research.

Changes in quality of life after a diagnosis of cancer: a 2-year study comparing breast cancer and melanoma patients

M. Campone, V. Sébille, G. Quéreux, 2016, Quality of Life Research.

EMDR for symptoms of depression, stress and burnout in health care workers exposed to COVID-19 (HARD): A study protocol for a trial within a cohort study

B. Aouizerate, M. Krebs, E. Fakra, 2023, European journal of psychotraumatology.

Overall performance of Oort’s procedure for response shift detection at item level: a pilot simulation study

Antoine Vanier, Véronique Sébille, Myriam Blanchin, 2015, Quality of Life Research.

Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model.

Cécile Proust-Lima, Myriam Blanchin, Bastien Perrot, 2021, Methods.

Does the relationship between health-related quality of life and subjective well-being change over time? An exploratory study among breast cancer patients.

V. Sébille, P. Tessier, M. Blanchin, 2017, Social science & medicine.

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

M. Feddag, V. Sébille, J. Hardouin, 2015, Statistics in medicine.

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

V. Sébille, J. Hardouin, É. de Bock, 2014, Quality of Life Research.

Analysis of longitudinal Patient-Reported Outcomes with informative and non-informative dropout: Comparison of CTT and Rasch-based methods

V. Sébille, J. Hardouin, M. Blanchin, 2011 .

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

V. Sébille, J. Hardouin, E. Mirallié, 2011, Statistics in medicine.

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

V. Sébille, J. Hardouin, A. Bonnaud-Antignac, 2015, BMC Medical Research Methodology.

Investigation of measurement invariance in longitudinal health-related quality of life in preemptive or previously dialyzed kidney transplant recipients

V. Sébille, J. Hardouin, M. Giral, 2021, Quality of Life Research.

Identification of sources of DIF using covariates in patient-reported outcome measures: a simulation study comparing two approaches based on Rasch family models

V. Sébille, J. Hardouin, Yseulys Dubuy, 2023, Frontiers in psychology.

Performance of a Rasch-based method for group comparisons of longitudinal change and response shift at the item level in PRO data: a simulation study

V. Sébille, M. Blanchin, P. Brisson, 2022, Methods.

How to Investigate the Effects of Groups on Changes in Longitudinal Patient-Reported Outcomes and Response Shift Using Rasch Models

V. Sébille, J. Hardouin, Karima Hammas, 2020, Frontiers in Psychology.

Impact of response shift effects in the assessment of self-reported depression during treatment: Insights from a rTMS versus Venlafaxine randomized controlled trial.

J. Brunelin, E. Poulet, V. Sébille, 2023, Journal of psychiatric research.

Evaluation of the link between the Guttman errors and response shift at the individual level

V. Sébille, J. Hardouin, G. Challet-Bouju, 2021, Quality of Life Research.

Reply to letter to editor: “RespOnse Shift ALgorithm in item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies”

V. Sébille, J. Hardouin, M. Blanchin, 2020, Quality of Life Research.

Influence d’une covariable sur le changement dans le temps des « patient-reported outcomes » (PRO) et le « response shift » (adaptation) des patients – Évaluation d’un algorithme basé sur les modèles de Rasch

V. Sébille, J. Hardouin, M. Blanchin, 2019, Revue d'Épidémiologie et de Santé Publique.

The Guttman errors as a tool for response shift detection at subgroup and item levels

V. Sébille, J. Hardouin, M. Blanchin, 2016, Quality of Life Research.

Does Differential Item Functioning Jeopardize the Comparability of Health-Related Quality of Life Assessment Between Patients and Proxies in Patients with Moderate-to-Severe Traumatic Brain Injury?

V. Sébille, R. Cinotti, A. Roquilly, 2023, Neurocritical Care.