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A dataset of termination times of a company is analyzed by fitting a competing risk model, taking left truncation and right censoring into account. The analysis intends to provide evidence for a claim of age discrimination. The model imposes no functional form on the parameters of interest, namely the survivor, cause-specific hazard, and cumulative incidence functions. The empirical estimators are modified to account for delayed entry. Inference is primarily based on smoothed empirical hazard functions. The approach provides a frequentist alternative to the Bayesian analysis advocated by Kadane and Woodworth (2004) and is easy to implement using existing software.

Nonparametric methods for employment termination times with competing causes