Course Outline

Module 1: Introduction to Epidemiology and Biostatistics

• Definition and Importance of Epidemiology
• Role of Biostatistics in Epidemiology
• Overview of Stata Software
• Basic Epidemiological Measures (Incidence, Prevalence)
• Case Study: Exploring the Prevalence of a Disease in a Specific Population

Module 2: Study Designs in Epidemiology

• Types of Epidemiological Studies (Cohort, Case-Control, Cross-Sectional)
• Randomized Controlled Trials (RCTs)
• Bias and Confounding in Study Designs
• Choosing the Right Study Design
• Case Study: Designing a Cohort Study to Investigate Risk Factors for Heart Disease

Module 3: Data Collection and Management in Stata

• Importing and Exporting Data in Stata
• Data Cleaning Techniques
• Managing Missing Data
• Variable Recoding and Labeling
• Case Study: Preparing a Dataset for Analysis of a Large-Scale Health Survey

Module 4: Descriptive Statistics and Graphical Representation

• Summary Statistics (Mean, Median, Mode, Range, Variance)
• Frequency Distributions and Tables
• Graphical Displays (Histograms, Boxplots, Scatterplots)
• Using Stata for Descriptive Analysis
• Case Study: Descriptive Analysis of a Dataset on Childhood Obesity

Module 5: Inferential Statistics in Epidemiology

• Hypothesis Testing (p-values, Confidence Intervals)
• t-Tests and ANOVA
• Chi-Square Tests for Categorical Data
• Correlation and Simple Linear Regression
• Case Study: Testing Hypotheses on the Association Between Smoking and Lung Cancer

Module 6: Advanced Regression Techniques in Stata

• Multiple Linear Regression
• Logistic Regression Analysis
• Cox Proportional Hazards Model
• Interaction Terms and Effect Modification
• Case Study: Logistic Regression Analysis of Factors Associated with Diabetes

Module 7: Survival Analysis in Epidemiology

• Introduction to Survival Data and Censoring
• Kaplan-Meier Survival Curves
• Log-Rank Test
• Proportional Hazards Regression
• Case Study: Survival Analysis of Patients with Breast Cancer

Module 8: Epidemiological Measures of Association

• Risk Ratios and Odds Ratios
• Attributable Risk and Population Attributable Risk
• Measures of Diagnostic Accuracy (Sensitivity, Specificity, PPV, NPV)
• Confounding and Effect Modification
• Case Study: Calculating and Interpreting Odds Ratios in a Case-Control Study

Module 9: Screening and Diagnostic Tests

• Principles of Screening
• Evaluation of Screening Programs
• ROC Curves and AUC in Stata
• Likelihood Ratios
• Case Study: Evaluation of a New Screening Test for Early Detection of Cervical Cancer

Module 10: Epidemiological Research and Reporting

• Writing Epidemiological Research Papers
• Systematic Reviews and Meta-Analyses
• Ethical Considerations in Epidemiological Research
• Presentation of Epidemiological Data Using Stata
• Case Study: Conducting and Reporting a Meta-Analysis on the Effectiveness of a Public Health Intervention