The Role of Directed Acyclic Graphs (DAGs) in Epidemiology: Unraveling Causal Relationships and Controlling Confounding Variables
Choosing the Best Models, Model Selection Criteria, Cross-Validation Techniques, Balancing Model Complexity and Fit
Dealing with Missing Data in Biostatistical Analysis, Methods for Data Imputation, Impact on Model Results
Assessing Model Assumptions, Identification of Outliers and Influential Observations, Techniques for Model Improvement
Cox Proportional Hazards Regression: Survival Analysis and Hazard Functions, Hazard Ratios and Survival Curves, Time-to-Event Data in Biostatistics
