| Автор | Peritz, ric |
| Автор | Rose, Ray |
| Дата выпуска | 1978 |
| dc.description | Suppose that a large population is under observation with respect to some kind of failure whose hazard rate is low and depends on both a variable under study and.a categorical covariate. Length of observation may vary; both the variable under study and the covariate may change over time. Methods are presented for the testing of hypotheses regarding the effect of the variable under study as well as for the estimation of this effect. |
| Формат | application.pdf |
| Издатель | Marcel Dekker, Inc. |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | relative risk |
| Тема | matched samples |
| Тема | hazard rates |
| Название | Some statistical methods for survival analysis with rare failures |
| Тип | research-article |
| DOI | 10.1080/03610927808827654 |
| Electronic ISSN | 1532-415X |
| Print ISSN | 0361-0926 |
| Журнал | Communications in Statistics - Theory and Methods |
| Том | 7 |
| Первая страница | 619 |
| Последняя страница | 636 |
| Аффилиация | Peritz, ric; Kaiser-Permanente Contraceptive Drug Study, Hebrew University |
| Аффилиация | Rose, Ray; Academic Computing Services, University of California |
| Выпуск | 7 |
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| Библиографическая ссылка | Leve, M. 1955. Theory of Probability, 269–276. Princeton, New Jersey: Van Nostrand. |
| Библиографическая ссылка | Miettinen, 0.S. 1970. Estimation of the relative risk from individually matched series. Biometrics, 26: 75–86. |
