Sieve estimates for biased survival data

Details Sieve estimates for biased survival data Sieve estimates for biased survival data

2006-11-23

arxiv.org/abs/math/0611725v1

IMS Lecture Notes--Monograph Series 2006, Vol. 50, 127-143

Mathematics

Statistics Theory

Published at http://dx.doi.org/10.1214/074921706000000644 in the IMS Lecture Notes--Monograph Series (http://www.imstat.org/

Scientific paper

10.1214/074921706000000644

In studies involving lifetimes, observed survival times are frequently censored and possibly subject to biased sampling. In this paper, we model survival times under biased sampling (a.k.a., biased survival data) by a semi-parametric model, in which the selection function $w(t)$ (that leads to the biased sampling) is specified up to an unknown finite dimensional parameter $\theta$, while the density function $f(t)$ of the survival times is assumed only to be smooth. Under this model, two estimators are derived to estimate the density function $f$, and a pseudo maximum likelihood estimation procedure is developed to estimate $\theta$. The identifiability of the estimation problem is discussed and the performance of the new estimators is illustrated via both simulation studies and a real data application.

Affiliated with

Also associated with

No associations

Rating

Sieve estimates for biased survival data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Sieve estimates for biased survival data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sieve estimates for biased survival data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-700576