Signal Detection Using Empirica
Learn Signal Detection with Practical Experience on Empirica and Enhance Your Skills Now.
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 train 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.
- 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.
Students will have the opportunity to understand: Signal detection and the concepts of safety data interpretations.
Students will have the opportunity to understand: Empirica Signal Application basic usage
Students will have the opportunity to understand and work on: Creating data mining runs
Students will have the opportunity to understand: Results obtained from data mining runs
Students will have the opportunity to understand: How to pull statistical reports from internal safety data & FDA published quarterly based safety data.
Students will have the opportunity to understand: How to interpolate the graphs from created runs.
Students will have the opportunity to understand: Data mining run reports and their correlation with potential risks.
Students will have the opportunity to understand: Sector map and its advantages.
Students will have the opportunity to understand: Signal detection through tiles.
Students will have the opportunity to understand: Workflow of signal detection processes at organizational level as in real time industry.
Students will have the opportunity to understand: Advantages of user defined privileges and its necessity.
Students will have the opportunity to understand: Inter dependency of runs, query wizards and reports.
Students will have the opportunity to understand: Whole Empirica signal application and its core activities.
Students will have the opportunity to understand: Compliance and its importance in software controlled environments among regulatory agencies and health authorities.
Students will have the opportunity to demonstrate: The expertise in detecting potential signals and its tremendous impact on public health.
OUR STUDENTS WORK AT
Sollers partners with industry-leading corporations and provides them with ready-on-day-one employees. We record an 82% placement rate within three months of graduation.
After the completion of program, we assist our students with interview coaching, resume building sessions, conduct mock interviews, job readiness training and make them competent to venture into the corporate world.
The Clinical Trial Management course is extensive, and the professors are thorough in delivering the course materials using real life experience and insight. Career Services helped me throughout the interview process, and I landed my dream job with the very first interview after graduating from Sollers.
Thanks to the academic team at Sollers, I was able to gain quick admission with financial options to pay tuition. Career Services was very helpful with resume and interview prep. They sent me job postings with major hospitals and pharma companies which helped me land my current job as Data Manager in cancer clinical trials.