Pharmaceutical Statistics

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Friday 26 February 2016, 02:00pm - 04:00pm

Location Ashton Lecture Theatre, Ashton Building, University of Liverpool

14:00-14:45 Sara Hughes (VP & Head, Clinical Statistics, GSK)

Data Sharing: one pharmaceutical company's approach and the statistical challenges envisaged Download slides (PPTX)

This talk will begin by outlining the data transparency journey one pharmaceutical company, GSK, has taken over the past few years, including a summary of the current approach to data sharing as well as the method, with rationale, for data anonymisation. The talk will then move on to review some of the known challenges with data sharing, such as the level of data anonymisation required; limitations of anonymisation; data completeness and associated documentation for very old clinical trials; clinical trials with multiple analysis cutpoints over many years; and pooling data across sponsors with different data standards. Some recommendations for how to address these challenges will be discussed.

14:45-15:15 Sarah Nolan (Research Assistant, University of Liverpool) 

Data Sharing: a young statistician's perspective Download slides (PPTX)

I will describe the activities of a young academic researcher in the context of clinical trial data analysis the importance of data access and data transparency in evidence based medicine. I will share my personal experiences of four years of data requesting from multiple sources (academia, government and industry) for a large project in Epilepsy and the use of and remote data access systems. I will describe the challenges throughout the project, the benefit data sharing initiatives have had for the project and the challenges which remain.

15:15-15:30 Coffee

15:30-16:00 Panel Discussion

Contact Laura Bonnett

All are welcome. If you plan to attend please register:

Organiser Name Laura Bonnett

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS Merseyside Local Group and RSS Young Statisticians Section





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