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Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse
Fitting generalised linear models (GLMs) with more than one predictor has become the standard method of analysis in evolutionary and behavioural research. Often, GLMs are used for exploratory data analysis, where one starts with a complex full model including interaction terms and then simplifies by...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Springer-Verlag
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3015194/ https://www.ncbi.nlm.nih.gov/pubmed/21297852 http://dx.doi.org/10.1007/s00265-010-1038-5 |