Chair: Katherine Hutchinson: PSI Vice-Chair & Membership Secretary, Quanticate
Speaker: Richard Kay: RK Statistics Ltd, Great Longstone, UK
On assessing the presence of evaluation-time bias in progression-free survival in randomized trials
Co-authors: Jane Wu, Janet Wittes
Published Online: Jun 21 2010
(Subsequently published in: Pharmaceutical Statistics, Volume 10, Issue 3, pages 213–217, May/June 2011)
Abstract | Paper+ | Slides
Speaker: Gui-shuang Ying: Department of Ophthalmology, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weibull prediction of event times in clinical trials
Co-author: Daniel F. Heitjan
Pharmaceutical Statistics, Volume 7, Issue 2, pages 107-120, April/June 2008
Abstract | Paper+ | Slides
+ Papers available to view from 20th October 2010 to 17th November 2010.
For a flier advertising the event, please click here.
Chair: Katherine Hutchinson: PSI Vice-Chair & Membership Secretary, Quanticate
Speaker: Richard Kay: RK Statistics Ltd, Great Longstone, UK
On assessing the presence of evaluation-time bias in progression-free survival in randomized trials
Co-authors: Jane Wu, Janet Wittes
Published Online: Jun 21 2010
(Subsequently published in: Pharmaceutical Statistics, Volume 10, Issue 3, pages 213–217, May/June 2011)
Abstract | Paper+ | Slides
Speaker: Gui-shuang Ying: Department of Ophthalmology, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weibull prediction of event times in clinical trials
Co-author: Daniel F. Heitjan
Pharmaceutical Statistics, Volume 7, Issue 2, pages 107-120, April/June 2008
Abstract | Paper+ | Slides
+ Papers available to view from 20th October 2010 to 17th November 2010.
For a flier advertising the event, please click here.
Chair: Katherine Hutchinson: PSI Vice-Chair & Membership Secretary, Quanticate
Speaker: Richard Kay: RK Statistics Ltd, Great Longstone, UK
On assessing the presence of evaluation-time bias in progression-free survival in randomized trials
Co-authors: Jane Wu, Janet Wittes
Published Online: Jun 21 2010
(Subsequently published in: Pharmaceutical Statistics, Volume 10, Issue 3, pages 213–217, May/June 2011)
Abstract | Paper+ | Slides
Speaker: Gui-shuang Ying: Department of Ophthalmology, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weibull prediction of event times in clinical trials
Co-author: Daniel F. Heitjan
Pharmaceutical Statistics, Volume 7, Issue 2, pages 107-120, April/June 2008
Abstract | Paper+ | Slides
+ Papers available to view from 20th October 2010 to 17th November 2010.
For a flier advertising the event, please click here.
Chair: Katherine Hutchinson: PSI Vice-Chair & Membership Secretary, Quanticate
Speaker: Richard Kay: RK Statistics Ltd, Great Longstone, UK
On assessing the presence of evaluation-time bias in progression-free survival in randomized trials
Co-authors: Jane Wu, Janet Wittes
Published Online: Jun 21 2010
(Subsequently published in: Pharmaceutical Statistics, Volume 10, Issue 3, pages 213–217, May/June 2011)
Abstract | Paper+ | Slides
Speaker: Gui-shuang Ying: Department of Ophthalmology, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weibull prediction of event times in clinical trials
Co-author: Daniel F. Heitjan
Pharmaceutical Statistics, Volume 7, Issue 2, pages 107-120, April/June 2008
Abstract | Paper+ | Slides
+ Papers available to view from 20th October 2010 to 17th November 2010.
For a flier advertising the event, please click here.
Chair: Katherine Hutchinson: PSI Vice-Chair & Membership Secretary, Quanticate
Speaker: Richard Kay: RK Statistics Ltd, Great Longstone, UK
On assessing the presence of evaluation-time bias in progression-free survival in randomized trials
Co-authors: Jane Wu, Janet Wittes
Published Online: Jun 21 2010
(Subsequently published in: Pharmaceutical Statistics, Volume 10, Issue 3, pages 213–217, May/June 2011)
Abstract | Paper+ | Slides
Speaker: Gui-shuang Ying: Department of Ophthalmology, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weibull prediction of event times in clinical trials
Co-author: Daniel F. Heitjan
Pharmaceutical Statistics, Volume 7, Issue 2, pages 107-120, April/June 2008
Abstract | Paper+ | Slides
+ Papers available to view from 20th October 2010 to 17th November 2010.
For a flier advertising the event, please click here.
Chair: Katherine Hutchinson: PSI Vice-Chair & Membership Secretary, Quanticate
Speaker: Richard Kay: RK Statistics Ltd, Great Longstone, UK
On assessing the presence of evaluation-time bias in progression-free survival in randomized trials
Co-authors: Jane Wu, Janet Wittes
Published Online: Jun 21 2010
(Subsequently published in: Pharmaceutical Statistics, Volume 10, Issue 3, pages 213–217, May/June 2011)
Abstract | Paper+ | Slides
Speaker: Gui-shuang Ying: Department of Ophthalmology, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Weibull prediction of event times in clinical trials
Co-author: Daniel F. Heitjan
Pharmaceutical Statistics, Volume 7, Issue 2, pages 107-120, April/June 2008
Abstract | Paper+ | Slides
+ Papers available to view from 20th October 2010 to 17th November 2010.
For a flier advertising the event, please click here.
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
This webinar is organised by the RWD SIG and the Historical Data SIG. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This will be a 45 minute webinar which will explain the topic presented in the published paper, ‘Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance’. There will be 15 minutes for a panel Q&A with some of the authors following the presentation.
This 1-hour webinar will be an opportunity to hear about the methodology and first results of the iRISE consortium. iRISE is working towards a better understanding of reproducibility and the interventions that work to improve it. At the end of the presentation there will also be the opportunity to ask questions.
This one-day event focuses on the comprehensive management of transitioning to R/Open-Source, addressing the challenges and providing actionable insights. Attendees will participate in sessions covering essential topics such as training best practices, creating strategic plans, making the case to senior management, and managing both statistical and programming aspects of the transition.
Develop your non-technical skills by reading The Art of Explanation by Ros Atkins and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply skills from the book in-between sessions.
This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The program will feature insightful sessions led by distinguished invited speakers, alongside a poster session showcasing the latest advancements in the field. Further details will be provided.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This is an exciting, new opportunity for an experienced Statistician looking to take the next step in their career. Offered as a remote or hybrid position aligned with our site in Harrogate, North Yorkshire.
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