My research focuses on the measurement, analysis and interpretation of latent constructs (e.g. quality of life, well-being, fatigue, anxiety, depression) using self-reported outcomes and in particular Patient-Reported Outcomes (PRO). I am particularly interested in longitudinal PRO data and measurement invariance with a special focus on Response Shift and Differential Item Functioning using Rasch Measurement Theory and Structural Equation Modeling.
Critical examination of current response shift methods and proposal for advancing new methods.
Sébille V, Lix, LM, Ayilara OF, Sajobi TT, Janssens CAJW, Sawatzky R, Sprangers MAG, Verdam MGE., & the Response Shift – in Sync Working Group
2021, in press.
How to Investigate the Effects of Groups on Changes in Longitudinal Patient-Reported Outcomes and Response Shift Using Rasch Models.
Hammas K*, Sébille V*, Brisson P, Hardouin JB, Blanchin M.
2020 Dec 23;11:613482. PMID: 33424726
Comparison of structural equation modelling, item response theory and Rasch measurement theory-based methods for response shift detection at item level: A simulation study.
Blanchin M, Guilleux A, Hardouin JB, Sébille V.
Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level.
Salmon M, Blanchin M, Rotonda C, Guillemin F, Sébille V.
2017;6(11):2562-2575. PMID: 28994209
Does the relationship between health-related quality of life and subjective well-being change over time? An exploratory study among breast cancer patients.
Tessier P, Blanchin M, Sébille V.
2017;174:96-103. PMID: 28013110
Leader of the Master Level 2 degree "Modelling in Clinical Pharmacology and Epidemiology" at the University of Nantes, France.
Teachin in: Biostatistics, Psychometrics, Clinical research Methodology