Načítá se...
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...
Uloženo v:
| Vydáno v: | Biometrika |
|---|---|
| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2013
|
| Témata: | |
| On-line přístup: | 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 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|