left truncation(Right Sensoring) survival analysis "R" code

#1
I need to help about left truncation survival analysis with the programme of R.
Is there any supportive document,video or anything?
If possible would you please show me example and result for this topic?
Best Regards
 
#3
Censoring and truncation is not the same thing.

With censoring you know that the variable was above (or below) a value.

With truncation all the values above (or below) the truncation value has be thrown away and you don't know how many would be above.

Search for info!
 
#7
Censoring and truncation is not the same thing.

With censoring you know that the variable was above (or below) a value.

With truncation all the values above (or below) the truncation value has be thrown away and you don't know how many would be above.

Search for info!
I know they are not same. But thanks for explanation. :) And for link. My issue is I could not find any example about left truncation solving in R. Forinstance https://cran.r-project.org/web/packages/coxrt/vignettes/coxrt-vignette.html within this link It shows us right truncated datas codes over any example.

Best Regards&Thanks for helps
Mitnicks
 
#8
My issue is I could not find any example about left truncation solving in R.
I have heard of someone who had a problem with left censored data, but all the software were for right censored data. So he just multiplied the data with -1. That turned the left censored to right censored. Can you do the same for truncated data?

Left censored data often happens when values are "below the detection limit". Search for: "truncaion below the detection limit".