@article{(Open Science Index):https://publications.waset.org/pdf/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 and Computational Sciences}, volume = {7}, number = {4}, year = {2013}, pages = {605 - 609}, ee = {https://publications.waset.org/pdf/734}, url = {https://publications.waset.org/vol/76}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 76, 2013}, }