Eliminating bias due to censoring in Kendall’s tau estimators for quasi independence of truncation and failure
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Year
: 2014DOI: 10.1016/j.csda.2013.11.018
Keyword(s): Inverse probability weighting,Left truncation
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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 | http://libsearch.um.ac.ir:80/fum/handle/fum/582995?locale-attribute=en | |
| 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 |