Testing independence for bivariate current status data
| dc.citation.epage | 155 | en_US |
| dc.citation.issue | 465 | en_US |
| dc.citation.spage | 145 | en_US |
| dc.citation.volume | 99 | en_US |
| dc.citation.woscount | 14 | |
| dc.contributor.author | Ding, AA | en_US |
| dc.contributor.author | Wang, WJ | en_US |
| dc.contributor.department | 統計學研究所 | zh_TW |
| dc.contributor.department | Institute of Statistics | en_US |
| dc.date.accessioned | 2014-12-08T15:39:29Z | |
| dc.date.available | 2014-12-08T15:39:29Z | |
| dc.date.issued | 2004-03-01 | en_US |
| dc.description.abstract | This article develops a nonparametric procedure for testing marginal independence based on bivariate current status data. Asymptotic properties of the proposed tests are derived, and their finite-sample performance is studied via simulations. The method is applied to analyze data from a community-based study of cardiovascular epidemiology in Taiwan. | en_US |
| dc.identifier.issn | 0162-1459 | en_US |
| dc.identifier.journal | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/26959 | |
| dc.identifier.wosnumber | WOS:000220638200015 | |
| dc.language.iso | en_US | en_US |
| dc.subject | Cochran-Mantel-Haenszel test | en_US |
| dc.subject | epidemiology | en_US |
| dc.subject | interval censoring | en_US |
| dc.subject | lifetime data | en_US |
| dc.subject | nonparametric analysis | en_US |
| dc.subject | two-by-two table | en_US |
| dc.title | Testing independence for bivariate current status data | en_US |
| dc.type | Article | en_US |