Some statistical methods for survival analysis with rare failures
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...
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Veröffentlicht in: | Communications in statistics. Theory and methods 1978-01, Vol.7 (7), p.619-636 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 0361-0926 1532-415X |
DOI: | 10.1080/03610927808827654 |