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An Augmented Probit Model for Missing Predictable Covariates in Quantal Bioassay With Small Sample Size
Quantal bioassay experiments relate the amount or potency of some compound; e.g. poison, antibody, or drug to a binary outcome such as death or infection in animals. For infectious diseases, probit regression is commonly used for inference and a key measure of potency is given by the ID(P), the amou...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2011
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3116946/ https://ncbi.nlm.nih.gov/pubmed/21210769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01536.x |
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