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Semiparametric estimation for the additive hazards model with left-truncated and right-censored data
Survival data from prevalent cases collected under a cross-sectional sampling scheme are subject to left-truncation. When fitting an additive hazards model to left-truncated data, the conditional estimating equation method (Lin & Ying, 1994), obtained by modifying the risk sets to account for le...
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| 發表在: | Biometrika |
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| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2013
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4523304/ https://ncbi.nlm.nih.gov/pubmed/26246622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/ast039 |
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