
SUMMARY There are four regression techniques currently available for use with censored data which do not assume particular parametric families of survival distributions. They are due to (i) Cox (1972), (ii) Miller (1976), (iii) Buckley & James (1979), and (iv) Koul, Susarla & Van Ryzin (1981). These four methods are described, and their performances compared on the updated Stanford heart transplant data. Conclusions on the usefulness of the four procedures are drawn.
linear model, Stanford heart transplant data, Linear regression; mixed models, comparison of regression techniques, proportional hazards model, censored data, Nonparametric estimation, Applications of statistics to biology and medical sciences; meta analysis
linear model, Stanford heart transplant data, Linear regression; mixed models, comparison of regression techniques, proportional hazards model, censored data, Nonparametric estimation, Applications of statistics to biology and medical sciences; meta analysis
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