1. Introduction to Cross-Sectional Studies

• What is a cross-sectional study?

• Key features that differentiate it from cohort and case-control studies

• When is a cross-sectional design most appropriate?

2. Design and Methodology

• How to design a good cross-sectional study?

• Sampling techniques: random vs. convenience sampling

• Common biases in cross-sectional studies

• Ethical considerations in survey-based research

3. Data Collection Tools

• Surveys and questionnaires: Best practices

• Using hospital EMR data in cross-sectional research

• Tips for standardizing data collection

4. Statistical Analysis

• Which statistical tests are suitable for cross-sectional data?

• Descriptive vs. inferential statistics in cross-sectional analysis

• How to deal with confounders?

• Using SPSS, R, or Python for data analysis

5. Interpretation of Results

• Understanding prevalence vs. incidence

• Limitations in drawing causal conclusions

• How to report findings in a research paper?

6. Common Pitfalls and Peer Advice

• Common mistakes in study design and reporting

• Peer review: Share your draft for feedback

• Successful examples of published cross-sectional studies

7. Resources and Templates

• Downloadable sample protocol

• IRB submission templates

• Recommended reading and videos