How To Manage Unique Data Types Within Oncology Trials: Biomarkers, Imaging, Radiotherapy, eCOA
April 15, 2020
OVERVIEWOncology trials collect unique data types. Attendees of this webinar will get an overview of Oncology data types, the challenges faced during the study design phase and how this data gets collected in the eCRF. Learn about the strategies put in place for data validation and reconciliation.
WHAT YOU'LL LEARN
- Learn about unique external data types at Oncology trials
- How to translate the importance of each data type to meet trial endpoints
- Strategies are put in place for collector set-up and data collection
- Specific data validation and reconciliation workaround
WHO SHOULD ATTENDData Management roles involved in Oncology trials using different data types.
WHAT ARE THE BENEFITSParticipants will benefit from attending this webinar by learning the variability of data types used on Oncology trials and how to come up with flexible strategies to deal with data collection and review challenges in order to deliver high quality data.
MEET THE PRESENTERS
Gabriela Luna, Bachelor of Science in NursingGabriela has 8 years’ experience in Data Management and over 13 years of Clinical Research experience assigned to Infectious Disease, Diabetes, Cardiovascular and Oncology areas.
Gabriela joined MSD in 2016 as a Trial Manager within Global Clinical data Management and Standards, Project Data Management services.
Kevin Lindquist, Bachelor of Science in BiologyKevin began working on Oncology clinical trials in 2004 as a Data Manager. In 2015, he joined Merck as an Oncology Trial Manager within the Project Data Management Services department.
EARN CEUsParticipants are eligible to receive CEUs upon attendance and successful completion of a web-based assessment within 30 days after the webinar. CEUs are not granted after the 30-day assessment deadline.
SCDM is authorized by IACET to offer 0.2 CEUs for this program.
|Group (max. 10 ppl.)||$960||$1,140|
Group Registration Policy: Any group registration allows up to 10 people to attend the webinar and to complete the webinar assessment. Credits will be granted on an individual basis upon successful completion of the assessment by the registered participants.
Refund Policy: Participants will receive a full refund if notice is provided in writing via post or email one week prior to the webinar date. If cancellation occurs within the week prior the webinar, participants will be allowed to apply 50% of the webinar fee to the next offering of the same webinar. No refunds will be offered after that time.
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