Eliminating bias due to censoring in Kendall’s tau estimators for quasi independence of truncation and failure
ناشر:
سال
: 2014شناسه الکترونیک: 10.1016/j.csda.2013.11.018
کلیدواژه(گان): Inverse probability weighting,Left truncation
کالکشن
:
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آمار بازدید
Eliminating bias due to censoring in Kendall’s tau estimators for quasi independence of truncation and failure
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contributor author | Austin, Matthew D. - Betensky, Rebecca A. | |
date accessioned | 2020-03-11T15:43:43Z | |
date available | 2020-03-11T15:43:43Z | |
date issued | 2014 | |
identifier issn | 0167-9473 | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/582995 | |
format | general | |
language | English | |
publisher | Elsevier Science | |
title | Eliminating bias due to censoring in Kendall’s tau estimators for quasi independence of truncation and failure | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 4443287 | |
subject keywords | Inverse probability weighting | |
subject keywords | Left truncation | |
identifier doi | 10.1016/j.csda.2013.11.018 | |
journal title | Computational Statistics & Data Analysis | |
journal volume | 73 | |
journal issue | 0 | |
filesize | 420400 | |
citations | 0 |