The expectation maximization (EM) algorithm is a popular, and often remarkably simple, method for maximum likelihood estimation in incomplete-data problems. One criticism of EM in practice is that ...

Here we apply this idea to the proportional hazards model and show that in this case the iteration is an EM algorithm and leads to maximum partial likelihood estimates. It is shown how this algorithm ...