index.Rmd

---
title: "Rank Aggregated Signal Detection for VAERS Data"
description: |
  This site presents our analysis results for the PrecisionFDA
  "[Gaining New Insights by Detecting Adverse Event Anomalies Using FDA Open Data](https://precision.fda.gov/challenges/9)"
  challenge.
author:
  - name: Nan Xiao
    url: https://nanx.me/
    affiliation: Seven Bridges
    affiliation_url: https://www.sevenbridges.com/
  - name: Soner Koc
    url: https://github.com/skoc
    affiliation: Seven Bridges
    affiliation_url: https://www.sevenbridges.com/
  - name: Kaushik Ghose
    url: https://kaushikghose.wordpress.com/
    affiliation: Seven Bridges
    affiliation_url: https://www.sevenbridges.com/
site: distill::distill_website
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, eval = FALSE)
```

# Method

Here is a [summary of our method](method.html).

<img src="assets/flow.svg" alt="">

# Pipeline

1. [Prepare VAERS data for safety signal detection](analysis-prepare-data.html)

2. Base signal detectors and rankers

    - [Base ranker: Gamma Poisson Shrinker (GPS)](analysis-gps.html)
    - [Base ranker: Proportional Reporting Ratio (PRR)](analysis-prr.html)
    - [Base ranker: Reporting Odds Ratio (ROR)](analysis-ror.html)
    - [Base ranker: Bayesian Confidence Propagation Neural Network (BCPNN)](analysis-bcpnn.html)

3. [Rank aggregation for ensembled safety signal detection](analysis-rankagg.html)