Central Lab Data Handling
February 12, 2020 from 13:30-15:00 China Beijing time
Lab data is one of the essential to the quality of a clinical trial and the central lab data handling is one of the key activities and critical process to ensure good data quality for a clinical trial.
The central lab data handling is the activity to involve multiple stakeholders (internal and external) and assure the quality, integrity, confidentiality and plausibility of the clinical data. The established procedures of central lab data handling help on the data quality.
During this webinar, the Instructor will introduce:
(a) Central lab data transfer
(b) Central lab data cleaning
(c) Case study
Please kindly note that the webinar will be presented in Chinese.
WHAT YOU'LL LEARN
- Understand the external data
- Understand the Central lab data transfer process
- Understand the Central lab data cleaning
WHO SHOULD ATTENDData Managers with intermediate through advanced levels of experience with determining Data validation checks and metrics.
WHAT ARE THE BENEFITS
Better understand how to ensure the data quality of central lab to avoid the gap of data cleaning.
MEET THE PRESENTERMaggie Fu, Senior Director, Head of CDM APAC & Site head of Dalian GSDM, Covance
Maggie Fu, Senior Director, Head of CDM APAC & Site head of Dalian GSDM, Covance. She holds Master of Epidemiology and Bio-Statistics Degree, Nanjing Medical University. Maggie has more than 16 years of experience in the global pharmaceutical industry and over 13 years in the CRO industry, which mainly focus on Data Management, as well as Clinical Programming and Biostatistics from multiple study phases and multiple therapeutic areas.
Participants 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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