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Linear regression is used in clinical trials to evaluate the relationship between two continuous variables. The goal of linear regression is often to model the relationship between an independent variable (such as a treatment or a risk factor) and a dependent variable (such as a patient outcome or a biomarker).
Recommended Viewing:
24.58s - Linear Regression
30:10s - Logistic Regression
31:26s - Cox Regression
41:54s - 2 level-hierarchical-design
55.18s - Clinical Prediction Model
Download Logistic regression sample data
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Download Cox regression sample data
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Download 2-level hierarchical design sample data
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