진학프로석·박사 채용 접수 플랫폼

Faced with a major life event, people may change how they interpret and evaluate their anxiety or quality of life when responding to self-reported outcomes, a phenomenon called response shift. Most of response shift analyses based on statistical methods consider two measurement occasions. Yet, changes of self-reported outcomes over time are often assessed over multiple time points. In this context, the trajectory of the construct is continuons by essence and response shift could be envisioned as a continuons process.

Furthermore, the study timescale has often to be treated as continuons rather than as discrete with equally spaced time points. Methods capable of detecting and adjusting for response shift over multiple time points in studies with continuons timescales are lacking.

The U1246 SPHERE research unit of Nantes Université is seeking a talented post-doctoral researcher to join us to develop a method for response-shift analysis at the item level in longitudinal self-reported outcomes studies across multiple time points. The post-doctoral grant (full-time, 22 months) is sponsored by the French National Research Agency (ANR). Objectives and missions :

- Propose an item-level response shift détection method based on continuous-time Raschmodels

- Perform simulation studies to assess the performance of the method

- Develop open-source solutions to disseminate the method to the widest possible audience

- Work data visualization preferences and understanding of the results to promote knowledge translation

Work environment

The methodS in Patient-centered outcomes & HEalth ResEarch (SPHERE - UMR 1246) research unit aims to strengthen the development of methods for patient-centered health research in a multidisciplinary perspective. The unit is structured into four thematic axes. The project will be embedded within Axis 3, dedicated to methods for the measurement and interprétation of Self-Reported Outcomes.

We offer :

• • A stimulating multidisciplinary environment
• • Access to a high-performance scientific computing environment
• • Travel opportunities for attending scientific conférences
• • Opportunities to gain experience in statistics teaching (if desired)

Duration of contract : 22 months