Multiprocess Dynamic Survival Models with Numbers of Deaths

  • Joo Yong Shim (Department of Statistics, Kyungpook National University, Taegu, 702-701, Korea.) ;
  • Joong Kweon Sohn (Department of Statistics, Kyungpook National University, Taegu, 702-701, Korea.) ;
  • Sang Gil Kang (Department of Statistics, Kyungpook National University, Taegu, 702-701, Korea.)
  • Published : 1996.12.01

Abstract

The multiprocess dynamic survival model is proposed for the application of the regression model on the analysis of survival data with time-varying effects of covariates : where the survival data consists of numbers of deaths at certain time-points. The algorithm for the recursive estimation of a time-varying parameter vector is suggested. Also the algorithm of forecasting of numbers of deaths of each group in the next time interval based on the information gathered until the end of current time interval is suggested.

Keywords

References

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