PSI Pharmaceutical Statistics &
Virtual Journal Club Meeting on
Tuesday 1st April 2014
Audio Recordings now Available!
The latest Journal Club event was a joint session with the RSS. The event, sponsored by Wiley and Quintiles, was on Combination Therapies, and took place on the 1st April. Speakers Ying Yuan (University of Texas) and Michael Sweeting (University of Cambridge) presented their work published in Series C of the Journal of the Royal Statistical Society and Pharmaceutical Statistics, respectively. Why not take the opportunity to catch up now or even listen again!
Recording: MP3 file is available to download from the RSS website here.
Or the webcast is available to view from YouTube here.
Chair: James Carpenter, School of Hygiene and Tropical Medicine
Speaker: Ying Yuan, Department of Biostatistics, University of Texas
A Bayesian dose finding design for oncology clinical trials of combinational biological agents
Co-authors: Chunyan Cai, Yuan Ji;
Journal of the Royal Statistical Society: Series C (Applied Statistics), Volume 63, Issue 1, Pages 159173, January 2014
Links: Abstract | Article full text | Slides+
Speaker: Michael J Sweeting, Department of Public Health and Primary Care, University of Cambridge
Escalation strategies for combination therapy Phase I trials
Co-author: Adrian P Mander;
Pharmaceutical Statistics, Volume 11, Issue 3, Pages 258266, May/June 2012
Links: Abstract | Article full text | Slides+
+ Please note presentation slides available to download from 27th March 2014
Discussant: Tony Sabin, Amgen
For the flier advertising the event with further details, please click here.
About the speakers
Speaker: Ying Yuan
Dr. Ying Yuan is an Associate Professor in the Department of Biostatistics at MD Anderson Cancer Center. His areas of research interest are Bayesian adaptive clinical trial design and statistical analysis of missing data. He is the principal investigator of an R01-funded project for development of new Bayesian adaptive designs for oncology clinical trials. He has published more than 25 peer-reviewed methodological papers on Bayesian adaptive designs, including phase I, II, I/II clinical trials. These works appear in top statistical journals like Journal of the American Statistical Association, Journal of the Royal Statistical Society Series C, and Biometrics.
Speaker: Michael J Sweeting
I completed my BSc in Mathematics and Statistics at the University of Warwick in 2000 and an MSc in Medical Statistics at the University of Leicester in 2001. I have worked in the MRC Biostatistics Unit, Cambridge from 2002 2013, and completed a PhD at the University of Cambridge in 2008. In September 2013 I joined the Cardiovascular Epidemiology Unit, University of Cambridge.
My research interests are varied and include risk prediction using longitudinal and survival data, meta-analysis, cost-effectiveness analyses for public health interventions as well as novel designs for early phase clinical trials.
My work on early phase trials has focused on adaptive designs for Phase I trials. In particular, through collaborations with colleagues at the MRC Hub for Trials Methodology Research, we have been promoting the uptake of model based adaptive designs, and an R package (bcrm) has been published to facilitate the implementation of continual reassessment method (CRM) approaches. My work on dual-agent Phase I trials has focused on the distinct objectives of such trials and the need to often evaluate more than one dose combination in Phase II trials leading to more complex escalation strategies.
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Click here for details of all previous meetings.
What is PSI's Pharmaceutical Statistics Journal Club?
PSI's Pharmaceutical Statistics Journal Club is a free-to-attend virtual meeting which takes place quarterly. PSI members and non-members alike are welcome to join the meetings. Journal Club meetings feature papers from PSI's official journal Pharmaceutical Statistics which is published by John Wiley & Sons, Ltd. The authors of two papers are invited to present their work and each presentation is followed by a discussion.
The full version of the papers being presented at each meeting are freely available to all for a period around the Journal Club meeting date. The details of upcoming meetings will always be available on this page.
For more details about PSI's Pharmaceutical Statistics Journal Club you can read an editorial written by the organisers and published in Pharmaceutical Statistics in January 2011.