Understand the impact of row and column effects on data interpretation. Consider reversing the sides to assess differences and ensure unbiased analysis.

Avoid misleading conclusions by aligning contingency table structure with research questions. Determine which variables are of primary and secondary interest to establish appropriate side assignments.

In cases of missing or incomplete data, apply appropriate statistical techniques to adjust for potential biases. Imputation or data transformation can mitigate the impact of missing values and improve the accuracy of analysis.