Simulation study comparing analytical methods for single-item longitudinal patient-reported outcomes data.

Vinicius Fernando CalsavaraMárcio A DinizMourad TighiouartPatricia A GanzN Lynn HenryRon D HaysGreg YothersAndré Rogatko

Published in: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation (2022)

Although the CLMM showed the best performance among analytical methods, it relies on assumptions difficult to verify and that might not be fulfilled in the real world, therefore our recommendation is the use of PIM models with baseline symptom as a covariate.

Keyphrases

patient reported outcomes
liquid chromatography
big data
cross sectional
mass spectrometry
artificial intelligence
data analysis