R help - Jun 2014 - Cox regression model for matched data with replacement

My problem was how to build a Cox model for the matched data (1:n) with
replacement. Usually, we can use stratified Cox regression model when the
data were matched without replacement. However, if the data were matched
with replacement, due to the re-use of subjects, we should give a weight
for each pair, then how to incorporate this weight into a Cox model. I also
checked the "clogit" function in survival package, it seems suitable
to the
logistic model for the matched data with replacement, rather than Cox
model. Because it sets the time to a constant. Anyone can give me some
suggestions?

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