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Identification of causal effects on binary outcomes using structural mean models
Structural mean models (SMMs) were originally formulated to estimate causal effects among those selecting treatment in randomized controlled trials affected by nonignorable noncompliance. It has already been established that SMMs can identify these causal effects in randomized placebo-controlled tri...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4161996/ https://www.ncbi.nlm.nih.gov/pubmed/20522728 http://dx.doi.org/10.1093/biostatistics/kxq024 |