Kreiner S
Statistical Research Unit, Faculty of Medicine, University of Copenhagen, Denmark.
Soc Sci Med. 1989;29(2):253-8. doi: 10.1016/0277-9536(89)90174-3.
The selection of appropriate statistical models is a vital aspect of the analysis of complex health and social data. This paper examines issues related to model selection. It is concluded that the range of methods now available makes old controversies less relevant. Researchers may now look for strategies that combine the advantages of non-parametric and parametric approaches without automatically accepting the limitations of either. Examples of new directions are provided.
选择合适的统计模型是复杂健康和社会数据分析的一个重要方面。本文探讨了与模型选择相关的问题。得出的结论是，现在可用的方法范围使旧的争议变得不那么相关了。研究人员现在可以寻找结合非参数和参数方法优点的策略，而不必自动接受任何一种方法的局限性。文中提供了新方向的示例。
