Mississauga, ON

September 13th 2018

Effective Use of Advanced Analytics to Support Clinical Trial Decision-making and Analyses



On Thursday, September 13, in Mississauga, Ontario, Roche Canada welcomed approximately 70 attendees to the first-ever Canadian PHUSE Single Day Event. The audience included representation across the pharmaceutical industry, local and US-based CROs and research scientists at local hospitals. There was also a large academic presence, with students and faculty from nearby University of Waterloo, University of Toronto and McMaster University. 

The theme of the event was Effective Use of Advanced Analytics to Support Clinical Trial Decision-making and Analyses. We heard a variety of topics from those within pharma and those collaborating with pharma, including academia and the FDA. The presentations covered several platforms and languages: SAS, R, Python and Spotfire. Considerations for improving statistical methodology in oncology-based trials were presented and sparked engaging discussion. Machine learning and its use in biomarker research were highlighted, where conversations continued into scheduled breaks. We also heard from FDA representation about patient-level meta-analyses on publicly funded trial data which magnified the returns on public investment in the trials.

In addition to the great presentations, the event allowed ample time for attendees to network with colleagues across organizations; and we hope this Single Day Event will promote future collaboration and help foster industry connection, especially for those in the Toronto area. 

The hosts would like to acknowledge and thank all of our sponsors, presenters, and participants for making this a successful event, and hope this was the first of many more PHUSE Single Day Events to come in Canada!


Integration of Trials to Perform Secondary Analysis – Tejaskumar Patel, FDA

The Implementation of Spotfire in Clinical Trials to Review Safety and Patient Reported Outcomes Data – Jingyuan Chen & Wenyi Liu, Roche

A Case of Clinical Algorithm Modeling – Bruce Thomas, DataCeutics

From Tissue to Liquid: Non-invasive Biomarkers to Predict Prostate Cancer Aggressivity – Jouhyun Clare Jeon, Ontario Institute for Cancer Research

Progression-free Survival Analysis in Cancer Trials: Statistical Issues Due to Intermittent Assessment of Progression – Leilei Zeng, University of Waterloo

R Shiny Data Visualization and Interactive Statistical Analysis – Yuyao Song & Chendi Liao, Roche


View the event brochure.




If you are interested in sponsoring this event, click here.



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