careers centre

search members


PSI's Pharmaceutical Statistics
Journal Club


PSI Pharmaceutical Statistics &


Virtual Journal Club Meeting on

Combination Therapies

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 159–173, 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 258–266, 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.

Research interests

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.



For further information on any of the Journal Club events, please email   


Further details on Wiley, sponsor of PSI’s PST Journal Clubs can be found at  For details of other PSI Events please visit, or for information on joining PSI please click here.


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.

Past Journal Club Meetings

Click here for details of past meetings.Journal Club meetings are recorded and made available via Individual presentations can be accessed from or you can subscribe to the Journal Club podcast to have new recordings automatically downloaded to your computer.

Subscribe to the podcast

Get the RSS Feed

Subscribe in iTunes

How does PSI's Pharmaceutical Statistics Journal Club work?

  • Journal Club meetings are held quarterly and last 1½ hours.
  • Two papers will be selected from Pharmaceutical Statistics and authors will be invited to present their papers (20 mins) followed by discussion (25 mins) for each paper.
  • Attendees will dial into a TC. Papers and slides will be available to download beforehand from a public area of the PSI website:
  • These TCs are open to both PSI & non-PSI members. No need to pre-register.
  • Audio recordings will be available shortly after the TCs to download from the above website.

Further information

You will need Adobe Reader to access journal club papers and other documents on this page.  Click the icon below to get your free copy of Adobe Reader.

For further information or to provide feedback on PSI's Pharmaceutical Statistics Journal Club, please contact

web design by