Dr. Brian J Ring

Excerpt - Determining the relationships between risk factors and an outcome suggests the desire for understanding causality regardless of analysis intention. The COVID-19 pandemic inspired a wave of investigations that generated interesting and useful regression models for risk factors associated with various patient outcomes. That said, issues associated with variable transparency, poor model design, and misinterpretation of effect measures have seemingly become prevalent with the rush to generate relevant content during the COVID-19 pandemic. Thus, we enter the conundrum of the infamous Table 2 fallacy.