International Journal of Data Science and Analysis

Volume 4, Issue 6, December 2018

  • Estimation of the Survivorship Function Using the Cox-Proportional Hazard Model with Relaxed Tsiatis Assumptions

    Valerie Atieno Odhiambo, George Otieno Orwa, Romanus Odhiambo

    Issue: Volume 4, Issue 6, December 2018
    Pages: 106-111
    Received: 10 October 2018
    Accepted: 22 October 2018
    Published: 25 January 2019
    DOI: 10.11648/j.ijdsa.20180406.11
    Abstract: Survival analysis is the primary statistical method of analysing time to event data. The most popular method for estimating the survivor function is the Cox-Proportional Hazard model. It assumes that the effect on the hazard function of a particular factor of interest remains unchanged throughout the observation. This is known as Proportional Hazar... Show More