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Stochastic Processes for Long Term Predictions from Short Term Observations

  • Ton J. Cleophas
  • Aeilko H. Zwinderman
Chapter
  • 65 Downloads

Abstract

Markov modeling, otherwise called stochastic processes, assumes that per time unit the same % of a population will have an event, and it is used for long term predictions from short term observations. This chapter is to assess whether the method can be applied by non-mathematicians using an online matrix-calculator.

Supplementary material

333106_2_En_60_MOESM1_ESM.sav (42 kb)
optimalbinning (SAV 42 kb)

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ton J. Cleophas
    • 1
  • Aeilko H. Zwinderman
    • 2
  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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