The intuitive idea to ‘recover’ the complete data set from the observed data set by imputing expected survival times obtained from the population mortality tables, does not give unbiased estimates, since the right censored indivuduals are not a random subsample of the patients.
The intuitive idea to ‘recover’ the complete data set from the observed data set by imputing expected survival times obtained from the population mortality tables, does not give unbiased estimates, since the right censored indivuduals are not a random subsample of the patients.
Estimates the Net and Event free survial using a is non-parametric approach that aims to correct all individuals using the unconditional survival time distribution obtained from the population mortality table.
When analysing time to disease recurrence, we sometimes need to deal with data where all the recurrences are recorded, but no information is available on the possible deaths. This may happen when studying diseases of benign nature where patients are only seen at recurrences or in poorly designed national registries with insufficient patient identifiers to obtain their dead/alive status.
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