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The Impact of Sparse Follow-up on Marginal Structural Models for Time-to-Event Data
The impact of risk factors on the amount of time taken to reach an endpoint is a common parameter of interest. Hazard ratios are often estimated using a discrete-time approximation, which works well when the by-interval event rate is low. However, if the intervals are made more frequent than the obs...
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| Gepubliceerd in: | Am J Epidemiol |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2015
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4675663/ https://ncbi.nlm.nih.gov/pubmed/26589708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwv152 |
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