On 08/13/2014 08:38 AM, John Pura wrote:
Thank you for the reply. However, I think I may not have clarified what my
cases are. I'm studying the effect of radiation treatment (vs. none) on
survival. My cases are patients who received radiation and controls are those
who did not. I used a prop
Ok, I will try to do a short tutorial answer.
1. The score statistic for a Cox model is a sum of (x - xbar), where "x" is the covariate
vector of the subject who had an event, and xbar is the mean covariate vector for the
population, at that event time.
- the usual Cox model uses the mean of
On 08/13/2014 05:00 AM, John Purda wrote:
I am curious about this problem as well. How do you go about creating the
weights for each pair, and are you suggesting that we can just incorporate a
weight statement in the model as opposed to the strata statement? And Dr.
Therneau, let's say I hav
I am curious about this problem as well. How do you go about creating the
weights for each pair, and are you suggesting that we can just incorporate a
weight statement in the model as opposed to the strata statement? And Dr.
Therneau, let's say I have 140 cases matched with replacement to 2 cont
On 06/23/2014 05:00 AM, r-help-requ...@r-project.org wrote:
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
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 eac
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