Interactive Example - Study

Investigator: Maria Casa, PhD; Carroll Hansen, PhD Grant: The Piehler/Eckels Foundation

HIV Disease Progression: A Comparison of ARV Treatment Regimes

LabKey Server uses a fictional study for its sample data. This imaginary cohort study examines the effects of HIV on the human immune system over two years of data "collection". In particular, the researchers compare performance under different treatment regimens, tracking HIV disease progression in 200 fictional participants.

The data is fictional, but "inspired by real events" in HIV research: the data has been shaped to include plausible trends and discoverable relationships, as well as redundancies and regularities to ensure it is never confused with real observations.


Participants under anti-retroviral regimes fared much better than those without treatment, as is shown by these visualizations:


Notice the tabs in the upper right:

Overview. The current tab - the home page for the study. Click Study Navigator for a detailed overview of the data collected.

Participants. Browse individual participant data. The participants are divided into two cohorts of HIV+ and HIV- subjects. Other tracked groups include patients under anti-retroviral (ARV) regimes and natural controllers of HIV.

  • Cohort 1: HIV+ Participants
  • Cohort 2: HIV- Participants
  • HIV+ Receiving ARV Treatment
  • HIV+ Not Receiving ARV
  • Natural Controllers of HIV

Clinical and Assay Data Use this tab to explore different visualizations. Some charts to try:

  • On the Physical Exam dataset, make a box plot with ARV_Type on the X axis.
  • On Lab Results, make a scatter plot of Viral Load / CD4, then color code the dots according to Treatment Status.

Specimen Data. Browse the specimens used in the study.

Study Navigator
Study Navigator