Data-Based Selection of an Appropriate Biological Model: The Key to Modern Data Analysis

摘要: Selection of an appropriate model as the basis for data analysis is critical valid inference. Fundamental to this issue concept that datawill only “support” limited A should have enough structure and parameters account adequately significant variability in data, otherwise bias estimators likely. However, if has too much or many parameters, then precision unnecessarily lost “effects” may be inferred are not justified by data. proper fully supported avoid bias, but (the Principle Parsimony) .Thus, given there a need choose objectively from among alternative models, each based on biological considerations.