Drug Safety Signal Detection
Learn Signal Detection with Practical Experience on Empirica and Enhance Your Skills Now.
Overview
Why Signal Detection
The signal detection course shall cover a myriad of topics from detecting signals through validation and confirmation, analysis, prioritization, and assessment to recommending action. The course will also teach students how to track steps taken and make recommendations.
In This Course
Get comprehensive knowledge about signal detection including Empirica signal introduction, creating data mining runs and creating statistical reports generation. The course trains to use Empirica and its workflow configuration, setting preferences, navigating through tabs, and end user training.
The Sollers Advantage
The Short-term Program in Signal Detection by Sollers is taught by faculty experienced in the industry. The program is a great way to quickly develop an in-demand skill working with the latest technologies and gaining valuable hands-on experience.
Learning Outcomes

- Identify and monitor safety trends using the same tools used by regulators
- Prioritize and execute critical pharmacovigilance activities
- Employ a variety of Bayesian and classical data mining techniques
- Analyze both drug and event combinations and drug to drug interactions
- Filter out false positives to focus on the most important potential risks
- Detect problems that may have been overlooked during clinical development
- Gather intelligence on competing drugs’ safety profiles
- Maintain a comprehensive history of safety related topics
- Track signals and manage actions in a regulatory compliant environment.
Highlights
For Hands-on Training in Aggregate Reporting:
We are enhancing our Argus Internship Sessions by incorporating hands-on training in Aggregate Reporting and believe that the knowledge and training that the students gain will enhance the scope for better opportunities in the drug safety and PV industry.
There will be 4 to 5 sessions of hands-on Aggregate Reporting training conducted on Saturdays from 10 am to 2 pm EST. The number of students per session will be limited and the number of students will be determined on a First Come, First Serve basis, strictly.
Course Duration
Starting Soon
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Engagement
30 hours
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