Biostatisticians Web-based Seminars

The GCPICH Obligations of Sponsors Monitors and Investigators - barriers and solution - Webinar By GlobalCompliancePanel Overview: The principal objective in a new drug development program is to assess the benefit / risk ratio. Learn what the risk information is that must be collected, documented and reported accurately. Learn also how the International Conference on Harmonization (ICH) has been the most outspoken as to what GCP is including a formal listing of the "Principles of GCP" and a definition that is  more...

FDA Clinical Trial Auditing and the due diligence Companies should conduct as part of their monitoring program - Webinar By GCP Overview: The main principle is to follow exactly the signed and approved (IRB + PI) Protocol to the letter. This, in fact, is included on the FDA Form 1572. In the current regulatory climate, GCP Investigator site audits are a part of the clinical trail process. Sponsors should anticipate more inspections and information requests regarding monitoring practices. Many monitoring systems lack  more...

Recruiting is Critical to Your Success What is the Secret - Webinar By GlobalCompliancePanel Overview: This presentation will go over the steps required for your recruiting process to be successful. The ability to bring in (recruit) on-time study participants whether they be 'normal healthy adults' or patients with the condition being studied is essential for a CRO, a site, a CPU/ CRU for conducting on-time study starts with the full complement of volunteers. For this reason the  more...

How to Prevent or Handle Protocol Deviations and Violations to be GCP and Regulatory Compliant - Webinar By GlobalCompliancePane Overview: This Webinar deals with what happens, and under what circumstances, when the protocol is not followed (PNF) and why this is of particular significance. Covered, will be how a protocol deviation with the least significant effect where there is no substantive effect on the risks to research participants, no substantial effect of the value or integrity of the data, and did not result  more...