Showing 1 - 6 of 6
Cancer registries are often interested in estimating net survival (NS), the probability of survival if the cancer under study is the only possible cause of death. Pohar Perme, Stare, and Esteve (2012, Biometrics 68: 113–120) proposed a new estimator of NS based on inverse probability...
Persistent link: https://www.econbiz.de/10011265701
Cancer registries are often interested in estimating net survival, the probability of survival if the cancer under study is the only possible cause of death. In 2011, Pohar Perme et al. proposed a new estimator of net survival based on inverse-probability weighting. They demonstrated that...
Persistent link: https://www.econbiz.de/10011019782
Cure models can be used to simultaneously estimate the proportion of cancer patients who are eventually cured of their disease and the survival of those who remain "uncured". One limitation of parametric cure models is that the functional form of the survival of the "uncured" has to be...
Persistent link: https://www.econbiz.de/10008642122
Abstract not available.
Persistent link: https://www.econbiz.de/10011019800
In this article, we illustrate the command distrate, which calcu- lates age-standardized rates with efficient interval estimation by using formulas developed by Tiwari, Clegg, and Zou (2006, Statistical Methods in Medical Re- search 15: 547–569) as a modification of the method proposed by Fay...
Persistent link: https://www.econbiz.de/10011002416
In several medical reports, the survival function is graphed along with the confidence intervals. The endpoints of the confidence intervals are usually connected to draw an area where the entire survival curve is contained with a given confidence. Confidence intervals are pointwise, i.e., they...
Persistent link: https://www.econbiz.de/10005101300