External Course

A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database

DSA ADS Course - 2021

Algorithm, Adverse Event Reporting System, FAERS, Data Mining, Signal Detection, Bayes Geometric Mean, FDA AERS Database, Disproportionality Analysis, Pharmacovigilance

A Comparative Study of Data Mining Algorithms used for Signal Detection in FDA AERS Database

Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms

DSA ADS Course - 2021

Algorithm, Adverse Event Reporting System, FAERS, Data Mining, Signal Detection, Bayes Geometric Mean

Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms

Objectives: Data mining algorithms have been developed for the quantitative detection of drug-associated adverse events (signals) from a large database on spontaneously reported adverse events. In the present study, the commonality of signals detected by 4 commonly used data mining algorithms was examined.

Suffcient Causes: On Oxygen, Matches, and Fires

DSA ADS Course - 2021

Suffcient Causes: On Oxygen, Matches, and Fires

Probability, Causality, Causal Inference, Counterfactuals, Suffcient Causes, Explanation, Abduction

2019

Abstract

We demonstrate how counterfactuals can be used to compute the probability that one event was/is a sufcient cause of another, and how counterfactuals emerge organically from basic scientifc knowledge, rather than manipulative experiments. We contrast this demonstration with the potential outcome framework and address the distinction between causes and enablers.

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