Flawed Assumptions in Crucial Statistical Analyses Threaten Accurate Decision-Making
The assumptions of multiple linear regression, multiple logistic regression, and proportional hazards analysis were investigated. Key findings include the importance of meeting these assumptions for accurate results in statistical analysis.