Dear All, I am new to R. Can someone please direct me to an R package using which I can estimate a Parametric Survival Analysis model with Left-censored (delayed entry) data in it. I recently received reviewers comment on my submitted article, where the reviewer suggested that only R has capabilities of estimating above mentioned survival model. However, I am not able to figure which specific package in R, the reviewer was referring to. Any pointer would be greatly appreciated !! cheers, Vinod Mishra
R- package for Parametric Survival Analysis with Left-censored data
4 messages · Vinod Mishra, David Winsemius, Peter Dalgaard +1 more
On Nov 19, 2013, at 5:30 PM, Vinod Mishra wrote:
Dear All, I am new to R. Can someone please direct me to an R package using which I can estimate a Parametric Survival Analysis model with Left-censored (delayed entry) data in it. I recently received reviewers comment on my submitted article, where the reviewer suggested that only R has capabilities of estimating above mentioned survival model. However, I am not able to figure which specific package in R, the reviewer was referring to.
Look at: ?Surv ... after loading the survival package. (I do think you would be advised to seek statistical consultation.)
David Winsemius Alameda, CA, USA
On 20 Nov 2013, at 04:15 , David Winsemius <dwinsemius at comcast.net> wrote:
On Nov 19, 2013, at 5:30 PM, Vinod Mishra wrote:
Dear All, I am new to R. Can someone please direct me to an R package using which I can estimate a Parametric Survival Analysis model with Left-censored (delayed entry) data in it. I recently received reviewers comment on my submitted article, where the reviewer suggested that only R has capabilities of estimating above mentioned survival model. However, I am not able to figure which specific package in R, the reviewer was referring to.
Look at: ?Surv ... after loading the survival package. (I do think you would be advised to seek statistical consultation.)
In particular, notice the difference between left censoring (some patients are known to have died at an unknown time before t0) and left truncation (we only know survival times for patients alive at t0). Delayed entry is the latter.
-- David Winsemius Alameda, CA, USA
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com
7 days later
On 11/20/2013 08:17 AM, peter dalgaard wrote:
On 20 Nov 2013, at 04:15 , David Winsemius <dwinsemius at comcast.net> wrote:
On Nov 19, 2013, at 5:30 PM, Vinod Mishra wrote:
Dear All, I am new to R. Can someone please direct me to an R package using which I can estimate a Parametric Survival Analysis model with Left-censored (delayed entry) data in it. I recently received reviewers comment on my submitted article, where the reviewer suggested that only R has capabilities of estimating above mentioned survival model. However, I am not able to figure which specific package in R, the reviewer was referring to.
Look at: ?Surv ... after loading the survival package. (I do think you would be advised to seek statistical consultation.)
In particular, notice the difference between left censoring (some patients are known to have died at an unknown time before t0) and left truncation (we only know survival times for patients alive at t0). Delayed entry is the latter.
And in that case you could try the functions 'phreg' (parametric proportional hazards models) and 'aftreg' (accelerated failure time models) in the package 'eha'. Both functions allow for left truncation, right censoring and and a choice of distributions. G?ran Brostr?m
-- David Winsemius Alameda, CA, USA
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.