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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200206T100000
SEQUENCE:0
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/department
 -seminar-liqun-diao-university-waterloo
LOCATION:M3 - Mathematics 3 200 University Avenue West Room 3127 Waterloo O
 N N2L 3G1 Canada
SUMMARY:Department seminar by Liqun Diao\, University of Waterloo
CLASS:PUBLIC
DESCRIPTION:CENSORING UNBIASED REGRESSION TREES AND ENSEMBLES\n\nTree-based
  methods are useful tools to identify risk groups and\nconduct prediction 
 by employing recursive partitioning to separate\nsubjects into different r
 isk groups. We propose a novel paradigm of\nbuilding regression trees for 
 censored data in survival analysis. We\nprudently construct the censored-d
 ata loss function through an\nextension of the theory of censoring unbiase
 d transformations. With\nthe construction\, we can conveniently implement 
 the proposed\nregression trees algorithm using existing software for the\n
 Classification and Regression Trees algorithm (e.g.\, rpart package in\nR)
  and extend it for ensemble learning. Simulations and real data\nexamples 
 demonstrate that our methods either improve upon or remain\ncompetitive wi
 th existing tree-based algorithms for censored data.
DTSTAMP:20260410T080941Z
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