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Α Markov model for longitudinal studies with incomplete dichotomous outcomes
Missing outcome data constitute a serious threat to the validity and precision of inferences from randomized controlled trials. In this paper, we propose the use of a multistate Markov model for the analysis of incomplete individual patient data for a dichotomous outcome reported over a period of ti...
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| I publikationen: | Pharm Stat |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
John Wiley and Sons Inc.
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5363348/ https://ncbi.nlm.nih.gov/pubmed/27917593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pst.1794 |
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