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I stumble upon a strange behavior when using the bicomprisk() function. I still do not fully understand the theoretical background behind this function, but it seems not a desired behavior.
Here is the problem I saw:
For pairs, with both censored time, the time used in the function is the first one to appear in the data frame.
Sincerely,
Jaromil
Here is the code which replicates this behavior
library(mets)
library(dplyr)
library(tidyr)
## RUN the model
out <- bicomprisk(Event(time,status)~strata(zyg)+id(id),data=prt,cause=c(2,2),
return.data = T)
## Data in Wide format/ with max and min time
mydz =prt%>%as_tibble()%>%
filter(zyg=="DZ")%>%
group_by(id)%>%
filter(n()==2)%>%
summarise(
mintime = min(time),
maxtime = max(time),
status_sum = sum(status),
wmin =which.min(time),
minstatus = status[which.min(time)],
maxstatus = status[which.max(time)]
)
## Analyse which time is kept when both subject of the pair is censored
## when wmin=1, then the first subject of the pairs has the minimum time.
## it always corresponds to cases when the time used is the minimum.
mydz%>%
mutate(model_time = dz$time)%>%
filter(minstatus==0)%>%
filter(maxstatus==0)%>%
count(wmin,model_time==mintime)
The text was updated successfully, but these errors were encountered:
Thanks you for creating the mets package.
I stumble upon a strange behavior when using the bicomprisk() function. I still do not fully understand the theoretical background behind this function, but it seems not a desired behavior.
Here is the problem I saw:
For pairs, with both censored time, the time used in the function is the first one to appear in the data frame.
Sincerely,
Jaromil
Here is the code which replicates this behavior
The text was updated successfully, but these errors were encountered: