Data-driven desirability function to measure patients’ disease progression in a longitudinal study

DOI10.1080/02664763.2015.1077378OpenAlexW2251693943WikidataQ31061167 ScholiaQ31061167MaRDI QIDQ5138040

Hsiu-Wen Chen, Weng Kee Wong, Hongquan Xu

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4792097

zbMATH Keywords

longitudinal datanonlinear least squaresmultiple outcomesdesirability functionscleroderma

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• A robust desirability function method for multi-response surface optimization considering model uncertainty
• Penalized locally optimal experimental designs for nonlinear models
• Desirability Scores for Assessing Multiple Outcomes in Systemic Rheumatic Diseases
• An augmented approach to the desirability function
• Assessing disease progression using a composite endpoint

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