Part 0: SAS Basics for Big Data Analysis
1 SAS Program Overview
2 Input/output of data
3 DATA step
4 SQL and MACRO

Part 1: National Health Insurance Big Data
Chapter 1: Structure and Characteristics of National Health Insurance Big Data
1. Understanding National Health Insurance Big Data
2. Building data for analyzing National Health Insurance big data
3 Analysis Cases
Chapter 2 Drug Use Research
1 Understanding Pharmaceutical Data
2. Analysis of drug use patterns
Chapter 3 Cost Studies
1. Preparing cost analysis using National Health Insurance big data
2 Cost Analysis Cases
3. Precautions when calculating costs in special situations
4 Other Considerations
Chapter 4: Statistical Analysis for Policy Evaluation
1. Statistical research for policy evaluation
2 Discontinuous time series analysis
3 Double difference analysis

Part 2: Big Data Analysis Using Voluntary Adverse Event Reports
Chapter 5 Overview of Korea's Voluntary Adverse Event Reporting Data
1 Background
2 Composition of raw data for adverse drug reaction reports
3. Method and procedure for applying for raw data for adverse drug reaction report
Chapter 6: Technical Analysis of Adverse Reaction Reporting Status Using Adverse Reaction Reporting Data
1 Import, merge, and convert data for research purposes.
2. Characteristics of the status of adverse event reporting by year and the status of vaccine adverse event reporting, including gender, age, and reporter type.
3. Analysis of the status of reports of adverse vaccine reactions during pregnancy and deaths.
Chapter 7: Clue Analysis Using KAERS Data
1. Concept and Application of Clue Analysis
2. Analysis of clues regarding methylphenidate treatment
Chapter 8: Studying Adverse Vaccine Reactions Available in KAERS Data: Analysis of Changes
1 Change Analysis Concept
2. Perform change analysis

〈Part 3 Panel Survey Data〉
Chapter 9: Introduction to Panel Survey Data
1 Overview of the panel survey data
2. Introduction to the Korean Medical Panel
Chapter 10 Data Processing
1 Data Processing Overview
2 Data processing examples
Chapter 11 Panel Analysis
1 Panel Analysis Overview
2 Descriptive statistics of panel data
3 Regression analysis of panel data

Part 4: Common Data Model
Chapter 12: Introduction to the Common Data Model
1. Concept and pros and cons of the common data model
2 Domestic and international status of the common data model
Chapter 13 OMOP-CDM
1 OMOP-CDM Background
Chapter 14: Introduction to the US Sentinel CDM
1. Background of Sentinel CDM Construction
2 Sentinel Systems
Chapter 15: Introduction to the MOA Project for Active Pharmacovigilance
1. The concept and necessity of MOA CDM
2 MOA CDM Structure and Terminology
Analysis of adverse drug reactions using the 3 MOA CDM
Chapter 16: Advanced Case Studies Using the Common Data Model
1 Overview
2 Cohort composition
3. Prescription Drug Pattern Analysis
4. Comparison of clinical outcomes according to drugs used (estimation)
5. Building a Predictive Model Using Machine Learning (Prediction)

Part 5: Big Data Analysis Using Artificial Intelligence and Machine Learning
Chapter 17: Artificial Intelligence and Machine Learning Theory
1 Artificial Intelligence and Machine Learning
2. The Relationship Between Machine Learning and Artificial Intelligence
3 Types of Machine Learning
4 Machine Learning Steps
5 Machine Learning Analysis Programs
Chapter 18: Artificial Intelligence and Machine Learning Case Studies
1 SNS Unstructured Data Machine Learning
2 Machine learning using clinical data
3 Machine Learning Disease Risk Prediction Models
4. Machine Learning-Based Propensity Score Estimation Methods
5. Development of a Machine Learning Algorithm for Clue Detection

Appendix Data Preprocessing SAS Code