Session 6: Case Study#

This week is dedicated to a hands-on session where you get to apply the concepts you’ve learned so far to a real-world case study. We will provide a dataset related to clinical investigation and guide you on how to perform one-way, two-way, and multivariable analyses, hierarchical models.

  1. Importing datafile

    • Local

    • Remote

    • Both (Merging)

    • Simulation

  2. Dimension of datafile:

    • Rows (No. of Obs)

    • Columns (No. of Vars)

    • Sampling (Rows & Columns)

  3. Work Mode

    • Interactive

    • Batch

    • Remote Desktop

    Session 6: Case Study

  4. Introduction to the Case Study:

    • Overview of the real-world dataset related to clinical investigation

    • Understanding the research questions and objectives of the case study

  5. Importing Data Files:

    • Demonstrating different methods of importing data files in Stata:

      • Importing data from local files

      • Importing data from remote sources (e.g., URL, API)

      • Merging multiple datasets in Stata

      • Simulating data for analysis purposes

  6. Exploring the Dimension of the Data File:

    • Analyzing the number of observations (rows) and variables (columns) in the dataset

    • Sampling techniques for efficient data exploration and analysis

  7. Work Modes in Stata:

    • Discussing different work modes in Stata:

      • Interactive mode: working with Stata interactively through the command line or GUI

      • Batch mode: running Stata in batch mode for automating analysis tasks

      • Remote desktop: utilizing Stata in a remote desktop environment for collaboration or remote access

  8. One-Way Analysis:

    • Performing one-way analysis on relevant variables in the case study dataset

    • Exploring the distribution and group differences using appropriate statistical techniques in Stata

    • Visualizing the results using relevant plots and charts

  9. Two-Way Analysis:

    • Extending the analysis to two-way relationships between variables in the case study dataset

    • Conducting bivariate analysis and examining interactions using appropriate Stata commands and techniques

    • Visualizing the relationships and interactions using suitable plots and graphs

  10. Multivariable Analysis:

    • Applying multivariable analysis techniques to the case study dataset

    • Building and interpreting multivariable regression models to assess the impact of multiple predictors on the outcome of interest

    • Assessing the goodness of fit and making inferences based on the results

  11. Hierarchical Models:

    • Incorporating hierarchical models into the case study analysis

    • Accounting for nested data structures and examining the variation at different levels

    • Interpreting the results and discussing the implications within the hierarchical context

  12. Discussion and Conclusion:

    • Reflecting on the analysis results and their implications for the research questions in the case study

    • Discussing the strengths, limitations, and potential further analysis or extensions of the case study findings

In this session, provide step-by-step guidance on how to perform the analysis techniques mentioned in the case study using Stata. Encourage students to actively participate in the analysis process and engage in discussions regarding the interpretation and implications of the results. Additionally, emphasize the importance of data exploration, proper documentation, and reproducibility throughout the case study analysis.