Time to Event Analysis via Empirical Likelihood Inference
Risk estimate using the Aalen-Johansen method
Risk and survival probability estimates using the Kaplan-Meier method
Print function for object of class 'AalenJohansen'
Print function for object of class 'KaplanMeier'
Print function for object of class 'TwoSampleAalenJohansen'
Print function for object of class 'TwoSampleKaplanMeier'
Risk difference and ratio using the Aalen-Johansen method
Risk difference and risk ratio using the Kaplan-Meier method
Computation of t-year survival probabilities and t-year risks with right censored survival data. The Kaplan-Meier estimator is used to provide estimates for data without competing risks and the Aalen-Johansen estimator is used when there are competing risks. Confidence intervals and p-values are obtained using either usual Wald-type inference or empirical likelihood inference, as described in Thomas and Grunkemeier (1975) <doi:10.1080/01621459.1975.10480315> and Blanche (2020) <doi:10.1007/s10985-018-09458-6>. Functions for both one-sample and two-sample inference are provided. Unlike Wald-type inference, empirical likelihood inference always leads to consistent conclusions, in terms of statistical significance, when comparing two risks (or survival probabilities) via either a ratio or a difference.