Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/734,
  title    = {Dynamic Models versus Frailty Models for Recurrent Event Data},
  author    = {Entisar A. Elgmati},
  country   = {},
  institution={},
  abstract  = {Recurrent event data is a special type of multivariate
survival data. Dynamic and frailty models are one of the approaches
that dealt with this kind of data. A comparison between these two
models is studied using the empirical standard deviation of the
standardized martingale residual processes as a way of assessing the
fit of the two models based on the Aalen additive regression model.
Here we found both approaches took heterogeneity into account and
produce residual standard deviations close to each other both in the
simulation study and in the real data set.},
    journal   = {International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering},  volume    = {7},
  number    = {4},
  year      = {2013},
  pages     = {605 - 609},
  ee        = {http://waset.org/publications/734},
  url       = {http://waset.org/Publications?p=76},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 76, 2013},
}