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A general binomial regression model to estimate standardized risk differences from binary response data
Estimates of absolute risks and risk differences are necessary for evaluating the clinical and population impact of biomedical research findings. We have developed a linear-expit regression model (LEXPIT) to incorporate linear and nonlinear risk effects to estimate absolute risk from studies of a bi...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3982929/ https://ncbi.nlm.nih.gov/pubmed/22865328 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5553 |
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