Abstract
Specific longitudinal methods allowing for the analysis of latent variables have not yet been much developed despite the growing use of self-reported questionnaires in clinical trials aimed at measuring and evaluating many different latent variables such as QoL in cancer trials, dementia in Alzheimer trials, etc. The benefit of combining longitudinal analysis and IRT modelling using Rasch models for binary items has already been studied in the context of clinical trials and seems very promising. In this work, we will present a new longitudinal model where the memory of the instrument and the memory of the person are taken into account jointly. We present the model, its graphical properties in the context of a real longitudinal Health Related Quality of Life study. Finally, we discuss alternative strategies to deal with the same problem.
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Mesbah, M. (2017). Longitudinal Joint Model for Instrument and Person Memories in a Quality of Life Study. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_36
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DOI: https://doi.org/10.1007/978-981-10-1837-4_36
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