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Sparse Functional Linear Regression with Applications to Personalized Medicine

  • Ian W. McKeague
  • Min Qian
Conference paper
Part of the Contributions to Statistics book series (CONTRIB.STAT.)

Abstract

McKeague and Qian (2011) recently introduced a functional data-analytic approach to finding optimal treatment policies in the setting of personalizedmedicine based on genomic data. The policies are specified in terms of thresholds of gene expression at estimated loci along a chromosome. Methods for assessing the effectiveness of such treatment policies are described.

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References

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    McKeague, I. W., Qian, M.: Evaluation of treatment policies via sparse functional linear regression. Submitted to J. Am. Stat. Assoc. (2011)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Columbia UniversityNew YorkUSA
  2. 2.The University of MichiganAnn ArborUSA

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