TY - JOUR
T1 - Stochastic modelling of the hybrid survival curve
AU - Tan, Chong It
AU - Li, Jackie
AU - Li, Johnny Siu-Hang
AU - Balasooriya, Uditha
PY - 2016
Y1 - 2016
N2 - In this paper, building upon the idea of cross-sectional survival probabilities developed by Brouard (Espaces Popul Soc 2(1415):157168, 1986), we propose using stochastic models to study the evolution of a new type of survival curves called hybrid survival curve. We find that the three-factor survival model provides a better model fitting than the two-factor survival model. Furthermore, the three time-varying parameters are highly interpretable and their respective trends can be used as an indicator for the rectangularisation of survival curve. On top of that, we demonstrate how the time-varying parameters can be extrapolated into the future to obtain projected hybrid survival curves
AB - In this paper, building upon the idea of cross-sectional survival probabilities developed by Brouard (Espaces Popul Soc 2(1415):157168, 1986), we propose using stochastic models to study the evolution of a new type of survival curves called hybrid survival curve. We find that the three-factor survival model provides a better model fitting than the two-factor survival model. Furthermore, the three time-varying parameters are highly interpretable and their respective trends can be used as an indicator for the rectangularisation of survival curve. On top of that, we demonstrate how the time-varying parameters can be extrapolated into the future to obtain projected hybrid survival curves
U2 - 10.1007/s12546-016-9168-x
DO - 10.1007/s12546-016-9168-x
M3 - Article
VL - 33
SP - 307
EP - 331
JO - Journal of Population Research
JF - Journal of Population Research
IS - 4
ER -