User Guide

Algorithms

• Modified Detecting Deviating Cells (MDDC) Algorithm
• Monte Carlo Method for Obtaining the Cutoff Value
• Data-driven Approach to Determine Optimal Coefficient Value for MDDC Boxplot Method for Controlling FDR

Datasets

• Datasets
  • statin49: FDA statin dataset with 49 adverse events
    • Description
    • Format
    • Details
    • Data Source
  • statin49: FDA statin dataset with 49 adverse events with Cluster Index
    • Description
    • Format
    • Details
    • Data Source
  • FDA statin dataset with 101 adverse events
    • Description
    • Format
    • Details
    • Data Source
  • FDA dataset for beta blockers with 500 adverse events
    • Description
    • Format
    • Details
    • Data Source
  • FDA dataset for sedatives with 1000 adverse events
    • Description
    • Format
    • Details
    • Data Source

Usage Examples

• Usage Examples for MDDC in Python
  • Introduction
    • Installation
  • Dataset
  • Adverse Event (AE) identification with MDDC
    • Using Boxplot Method
      • Function for Finding Optimal Boxplot Coefficient
    • Using Monte Carlo Method
  • Function for Reporting
  • Simulating datasets with grouped AEs
  • Visualization