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A global sensitivity test for evaluating statistical hypotheses with non-identifiable models
We consider the problem of evaluating a statistical hypothesis when some model characteristics are non-identifiable from observed data. Such scenario is common in meta-analysis for assessing publication bias and in longitudinal studies for evaluating a covariate effect when dropouts are likely to be...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2009
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3076640/ https://ncbi.nlm.nih.gov/pubmed/19645705 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01290.x |
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