OHDSI Analysis Viewer

Table of contents

  1. Introduction
  2. How to use the viewer
  3. Analysis types
    1. Characterization
    2. Population-level effect estimation
    3. Patient-level prediction

Introduction

This is an interactive shiny app for exploring standardized outputs for OHDSI analyses including:

  • characterization (descriptive studies)
  • population-level effect estimation(causal inference)
  • patient-level prediction (inference)

Full details of all the analysis tools can be found on the HADES website

How to use the viewer

Please use the left hand menu to select the type of analysis to explore (click on a button). This show the results that can be interactively explored.

Analysis types

Characterization

The OHDSI community have developed a suite of tools for conducting characterization studies including:

  • incidence rate calculation
  • baseline characterization
  • treatment pathways
  • and more

Population-level effect estimation

The OHDSI community have developed several packages that enable users with data in the OMOP common data model to perform causal inference studies.

Patient-level prediction

The OHDSI community have developed several packages that enable users with data in the OMOP common data model to develop and validate patient-level prediction models.

Settings Dashboard

Binary

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Measurements

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Covariates

Model Table

Probability threshold plot:

Cutoff Slider:

Dashboard

Cutoff Performance

Summary

Click view to see the corresponding plots:

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Summary

Click view to see corresponding plots:

Select net benefit type to view:

Net Benefit Plot

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Summary

Select one or more rows to generate comparison ROC and calibration plots

Roc Plot

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Calibration Plot

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