Survival Analysis Using SAS®: A Practical Guide

Data with Time-Dependent Covariates

Since the maximum likelihood method is particularly effective at handling time-dependent covariates, let’s look at another example with three covariates that change over time. The sample consists of 301 male biochemists who received their doctorates in 1956 or 1963. At some point in their careers, all of these biochemists had jobs as assistant professors at graduate departments in the U.S. The event of interest is a promotion to associate professor. The biochemists were followed for a maximum of 10 years after beginning their assistant professorships. For a complete description of the data and its sources, see Long, Allison, and McGinnis (1993). That article focuses on comparisons of men and women, but here ...