Nonparametric estimation

  • Jan Beyersmann
  • Martin Schumacher
  • Arthur Allignol
Chapter
Part of the Use R! book series (USE R)

Abstract

We consider n individuals under study with individual multistate processes \((x-^{i}{t}) _{t\geq O,} X^{i} _{t} \epsilon {0,1,2,...,J} , i = 1,2,...n\) We assume that the n processes are, conditional on the initial states X(i) 0 , independent replicates of a multistate process as in Section 8.1. Observation of the individual multistate data is subject to a right-censoring time Ci and possibly also to a left-truncation time Li. We assume that right-censoring and left-truncation are independent as explained in Section 2.2.2.

Keywords

Leukemia Covariance Pneumonia Summing 

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Jan Beyersmann
    • 1
  • Martin Schumacher
    • 2
  • Arthur Allignol
    • 1
  1. 1.Institute of Medical Biometry and Medical Informatics University Medical Center Freiburg Freiburg Center for Data Analysis and Modelling University of FreiburgFreiburgGermany
  2. 2.Institute of Medical Biometry and Medical Informatics University Medical Center FreiburgFreiburgGermany

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