Displaying 3 results from an estimated 3 matches for "weissfeld".
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weinfeld
2010 May 18
1
proportion of treatment effect by a surrogate (fitting multivariate survival model)
...proportion of treatment
effect by a surrogate in a survival model (Lin, Fleming, and De
Gruttola 1997 in Statistics in Medicine). The paper mentioned that
the covariance matrix matches that of the covariance matrix estimator
for the marginal hazard modelling of multiple events data (Wei, Lin,
and Weissfeld 1989 JASA), and is implemented in Lin's MULCOX2, SAS,
and S-plus.
Is this the way to fit such a model in R?
Suppose I have variables: time, delta, treatment, and surrogate.
Should I repeat the dataset (2x) and stack, creating the variables:
time1 (time repeated 2x), delta1 (delta repeated 2x)...
2006 Sep 07
0
counting process form of a cox model (cluster(id))?
...be handled by standard methods. This is not actually an issue. .......................'
so, does anyone recommend that I include the 'cluster(id)' term or does this only need to be utilised in the situation where there is multiple events (eg in the bladder cancer study by Wei, Lin and Weissfeld) ?
I appreciate any help on the matter,
Thanks,
Zoe
2007 May 25
0
Competing Risks Analysis
...ime to event type 1", where all other event types are censored. An
extra variable "etype" is =1.
Second n obs: the data set you would create for "time to event type 2",
with etype=2
.
.
.
Then
fit <- coxph(Surv(time,status) ~ .... + strata(etype), ....
1. Wei, Lin, and Weissfeld apply this to data sets where the competing
risks are not necessarily exclusive, i.e., time to progression and time
to death for cancer patients. JASA 1989, 1065-1073. If a given subject
can have more than one "event", then you need to use the sandwich estimate
of variance, obtained by ad...