Dynamic survival prediction using sparse longitudinal images via multi-dimensional functional principal component analysis

HIGHLIGHTS

• Who: from the Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada Division of Public Health Sciences, Washington University School of Medicine in StLouis, USA , School of Engineering, Simon Fraser University, Burnaby, Canada have published the article: Supplementary Document for the Manuscript entitled “Dynamic Survival Prediction using Sparse Longitudinal Images via Multi-dimensional Functional Principal Component Analysis” S.1 Estimating the Mean Function, in the Journal: (JOURNAL)

SUMMARY

The authors present a straightforward approach based on tensor product spline regression. The estimate for the mean function µ(t) is obtained by minimizing . . .

 



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