USE OF A LOG‐LINEAR MODEL TO COMPUTE THE EMPIRICAL SURVIVAL CURVE FROM INTERVAL‐CENSORED DATA, WITH APPLICATION TO DATA ON TESTS FOR HIV POSITIVITY
Niels G. Becker, Mads Melbye · Australian Journal of Statistics · 1991
Summary We describe how a log‐linear model can be used to compute the nonparametric maximum likelihood estimate of the survival curve from interval‐censored data. This permits such computation to be performed with the aid of readily available statistical software such as GLIM or SAS. The method is illustrated with reference to data from a cohort of Danish homosexual men, each of whom was tested for HIV positivity on one or more of six possible follow‐up times.