Abstract—The Parametric Cox’s Proportional Hazard Model based on Expectation-Maximization (EM) algorithm for partly interval-censored data is studied. We mean by partly interval-censored data that the observed data include both the exact and interval-censored observations on the survival time of interest. Through the simulation data and real data, we demonstrate that the resulting estimate of regression coefficient and its associated standard error. Our proposal is easily implemented by using SAS software in the present of partly interval-censored data.

Index Terms—About four key words or phrases in alphabetical order, separated by commas. cox model, weibull distribution, partly interval-censored data, HIV/AIDS data, EM algorithm

F. A. M. Elfaki and M. Azram are with Department of Science In Engineering, Faculty of Engineering, IIUM, P. O. Box 10, 50728 Kuala Lumpur, Malaysia (e-mail:faizelfaki@yahoo.com).
M. Usman is with Department of Mathematics, Faculty of Science, Universitas Lampung , Bandar Lampung, Indonesia.

Cite: F. A. M. Elfaki, M. Azram, and M. Usman, "Parametric Cox’s Model for Partly Interval-Censored Data with Application to AIDS Studies," International Journal of Applied Physics and Mathematics  vol. 2, no. 5, pp. 352-354, 2012.