Displaying 2 results from an estimated 2 matches for "berkson".
2011 Aug 16
3
Bayesian Relative Survival Analysis in R?
...lysis.
(For your information, relative survival is the method of choice for estimating patient survival using data collected by population-based cancer registries although its utility is not restricted to studying cancer( Dickman and Adami 2006; Dickman et al. 2004).”, which is a concept defined by Berkson (1942) and Berkson & Gage (1950).Two data files are required in order to estimate relative survival; a file containing individual-level data on the patients and a file containing expected probabilities of survival for a comparable general population.)
Both the paper, Spatial variation in prost...
2010 Nov 12
3
predict.coxph
Since I read the list in digest form (and was out ill yesterday) I'm
late to the discussion.
There are 3 steps for predicting survival, using a Cox model:
1. Fit the data
fit <- coxph(Surv(time, status) ~ age + ph.ecog, data=lung)
The biggest question to answer here is what covariates you wish to base
the prediction on. There is the usual tradeoff between too few (leave
out something