Best Practices in Regression Analysis for Surgical Oncology Research: A Practical Guide

Analyzing tissue expander breast reconstruction cases (n=1986), researchers offered practical insights into regression modeling in surgical oncology. For breast-Q physical well-being, linear regression identified age, marital status, and dissection type as significant factors. Logistic regression for complications found BMI, age, bilateral reconstruction, and dissection type impactful. The study provides focused directives, urging researchers to judiciously select variables, confirm model fitting, and consider clinical plausibility for accurate interpretation in surgical oncology research.

Journal Article by Boe L, Vingan PS (…) Nelson JA et 5 al. in J Surg Oncol

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