Abstract
We show that the proportional hazards model of random censorship is too good to be frequently true as measured by mean squared errors: for estimating the underlying distribution function F(x) it is better to have a censored sample for a suitable expected censoring proportion than an uncensored full sample of the same size for any x below the 0.56-quantile of F.
| Original language | English |
|---|---|
| Pages (from-to) | 67-78 |
| Number of pages | 12 |
| Journal | Statistics |
| Volume | 31 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 1998 |
Keywords
- Censored and uncensored samples
- Proportional hazards
- Random censorship
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty