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Bayesian analysis of heterogeneous treatment effects for patient-centered outcomes research
Evaluation of heterogeneity of treatment effect (HTE) is an essential aspect of personalized medicine and patient-centered outcomes research. Our goal in this article is to promote the use of Bayesian methods for subgroup analysis and to lower the barriers to their implementation by describing the w...
Tallennettuna:
| Julkaisussa: | Health Serv Outcomes Res Methodol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer US
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5097788/ https://ncbi.nlm.nih.gov/pubmed/27881932 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10742-016-0159-3 |
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