How is Multiple Regression Applied in Cancer Research?
Here's a step-by-step outline of how multiple regression can be applied in cancer research:
Data Collection: Gather data from clinical trials, patient records, and other sources. Variable Selection: Identify the dependent and independent variables relevant to the study. Model Building: Use statistical software to build a multiple regression model. Evaluation: Assess the model's performance using metrics such as R-squared and p-values. Interpretation: Analyze the coefficients to understand the impact of each independent variable on the dependent variable.
