Page 59 - Contributed Paper Session (CPS) - Volume 2
P. 59
CPS1419 Jinheum K. et al.
in the values of r.Bias and CP between the three distributions considered
in simulations and the normal distribution. Through the analysis of
augmented PAQUID data, we found that non-homogeneity between
individuals exists. Men transitioned from healthy to diagnosed-with-
dementia states with an intensity that was 1.899 times higher than that
of women. For the transition from healthy to dead states, the intensity
for women was 6.816 times higher than it was for men, and the intensity
of the educated group was 3.874 times higher than that of the non-
educated group. However, there was no significant difference in the
transition intensity of dignosed-with-dementia to dead states between
men and women or between educated and non-educated groups.
Acknowledgement
This research was supported by Basic Science Research Program through the
National Research Foundation of Korea (NRF) funded by the Ministry of
Education (NRF-2017R1D1A1B03028535).
References
1. Andersen, P. K., Geskus, R. B., de Witte, T., and Putter, H. (2012).
Competing risks in epidemiology: possibilities and pitfalls. International
journal of epidemiology, 41, 861-870.
2. Barrett, J. K., Siannis, F., and Farewell, V. T. (2011). A semi-competing risks
model for data with interval-censoring and informative observation: An
application to the MRC cognitive function and ageing study. Statistics in
Medicine, 30, 1-10.
3. De Gruttola, V., and Lagakos, S. W. (1989). Analysis of doubly-censored
survival data, with application to AIDS. Biometrics, 45, 1-11.
4. Dejardin, D., and Lesaffre, E. (2013). Stochastic EM algorithm for doubly
interval-censored data. Biostatistics, 14, 766-778.
5. Fine, J. P., Jiang, H., and Chappell, R. (2001). On semi-competing risks
data. Biometrika, 88, 907-919.
6. Goggins, W. B., Finkelstein, D. M., and Zaslavsky, A. M. (1999). Applying
the Cox proportional hazards model for analysis of latency data with
interval censoring. Statistics in Medicine, 18, 2737-2747.
7. Kim, J., and Kim, J. (2016). Regression models for interval-censored semi-
competing risks data with missing intermediate transition status. The
Korean Journal of Applied Statistics, 29, 1311-1327.
8. Kim, M. Y., De Gruttola, V. G., and Lagakos, S. W. (1993). Analyzing doubly
censored data with covariates, with application to AIDS. Biometrics, 49,
13-22.
48 | I S I W S C 2 0 1 9