Week 3: Statistical Models for Multivariate Analysis

Weekly Objectives

• Use linear regression in R to model continuous outcomes and be able to interpret its parameters
• Understand odds ratio and relative risk
• Understand the logistic link and be able to interpret the parameter estimates in a logistic regression
• Know different ways to evaluate model accuracy of a classification model
• Understand the bias caused by censoring
• Understand log-rank test and Cox proportional hazard model for survival outcomes

Lecture Note and R Examples

• Lecture Notes
  • [Linear Regression]
• Download [week 3 practice .rmd file]
• Download the skin cancer Dataset in .txt format

Additional Reading

• Logistic Regression
  • [Relative Risk]
  • [Odds Ratio]
  • [Logistic Regression]
  • [Model Evaluation]
  • Use the Cleveland Clinic Heart Disease Dataset from Week 2
• [Survival Analysis]

Homework

• Sections 5.7 from the BPS textbook