摘要翻译：
相互作用的加性、乘性和奇数比率中性模型长期以来一直被提倡，在流行病学中有争议。我们在这里表明，这些通常提倡的模型是有偏见的，导致虚假的相互作用，并错过真正的相互作用。
---
英文标题：
《Missing and spurious interaction in additive, multiplicative and odds
  ratio models》
---
作者：
Jorge Fernandez-de-Cossio (1), Jorge Fernandez-de-Cossio-Diaz (2),
  Toshifumi Takao (3), Yasser Perera (1) ((1) Center for Genetic Engineering
  and Biotechnology, (2) Center of Molecular Immunology, (3) Institute for
  Protein Research)
---
最新提交年份：
2017
---
分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
--

---
英文摘要：
  Additive, multiplicative, and odd ratio neutral models for interactions are for long advocated and controversial in epidemiology. We show here that these commonly advocated models are biased, leading to spurious interactions, and missing true interactions.
---
PDF链接：
https://arxiv.org/pdf/1712.04412