Upcoming Events

Optimizing Trial Design: From early phase to confirmatory trials

About the webinar:
We examine how to optimize each phase of your clinical trial design using both standard and innovative methods.

In this free webinar you will learn about:
Fixed and Group Sequential Negative Binomial Models for Counts [Phase III]: We will demonstrate how to find the sample size for a count study and extensions to group sequential design. Count data is a common endpoint interested in the number of events that occur in a given time. Examples include COPD exacerbation rates and MRI lesions in MS. Count models, such as the Negative Binomial, model these events fully compared to binomial or survival models.
Learn More -> Simon’s Two-Stage Design [Phase II]: We will demonstrate sample size determination for Simon’s Optimal and Minimax designs and summarize one and three stage equivalents. Multi-stage designs are common in proof-of-concept Phase IIa trials so as to allow for flexibility to stop trials early for futility, as Phase II is the most common failure point in drug evaluation.
Learn More -> Multiple Comparisons Procedure – Modelling (MCP-Mod) [Phase II]: We will demonstrate the important design considerations for MCP-Mod and a practical example of calculating the sample size. MCP-Mod is an increasingly popular statistical methodology for dose-finding Phase IIb trials. Combining the robustness of multiple comparisons procedures with the flexibility of modelling, MCP-mod combines these methods to provide superior statistical evidence from Phase II dose-finding trials.
Learn More -> Continual Reassessment Method (CRM) [Phase I]: In this webinar, we demonstrate how to quickly estimate the required sample size for a proposed CRM study. The Continual Reassessment Method is an adaptive Bayesian modelling approach to targeting the maximum tolerated dose (MTD) which provides more accuracy and interpretability versus the results of traditional rule-based approaches such as the 3 + 3 design.
Learn More ->

Date & Time:
Wed, November 20th at 10am Eastern / 3pm GMT.

To register you can click here. 

The social history of ISIS-2 – Prof Conrad Keating

Contact: hrb-tmrn@nuigalway.ie

The Grand Hotel Malahide, Dublin – 7pm

Free to attend. 

https://www.tcd.ie/medicine/staff/keatinc1/

Conrad Keating is visiting professor and writer-in-residence at the School of Medicine, Trinity College Dublin. He works primarily on the modern history of medicine, with a particular interest in public engagement. Before joining TCD, Keating spent ten years as writer-in-residence at the Wellcome Unit for the History of Medicine at the University of Oxford.  His recent publications include the widely-acclaimed biography of the British epidemiologist Sir Richard Doll, Smoking Kills: The Revolutionary Life of Richard Doll (2009); Great Medical Discoveries: An Oxford Story, which accompanied his exhibition ‘Great Medical Discoveries: 800 Years of Oxford Innovation’ for the Bodleian Library (2013); and Kenneth Warren and the Great Neglected Diseases of Mankind Programme: The Transformation of Geographical Medicine in the US and Beyond (2017). Keating’s latest publication, A Life in Translation: Anthony Cerami and the Rise of Translational Medicine, will be published by Rutgers University Press in 2020.  He is currently writing a book on Decisive Moments in Global Health and has a ten-part Art of Medicine essay series on the history of randomised controlled trials in the Lancet.

Clinical Trial Design – partnering pragmatism with complexity to achieve excellence

The HRB-TMRN are delighted to announce that the 5th Trial Methodology Symposium will take place on December 6th 2019 in Dublin. This flagship network event will be hosted by Trinity College Dublin on behalf of the HRB-TMRN.

Click here to view the full Symposium schedule and speakers profiles. 

Details of this event included the venue and speakers will be announced in September 2019. Registration fees €100 (General Admission) / €50 (Student – Valid ID needed).

REGISTER ONLINE

*** COMING SOON ***

This course is aimed at those interested in both developing core outcome Sets in trials, as well as those who want to use available core outcome sets effectively. This one day course will explore;

• Why and where do we need core outcome sets?
• What is COMET, what is COMET doing to help, and how can you join in?
• How should core outcome sets be developed?
• Finding and appraising a core outcome set for your research.
• Do core outcome sets work?

Register online: https://zoom.us/webinar/register/WN_1HZrI8lKRkm-Ap67pHdU-w

Prof Jamie Kirkham – Division of Population Health, Health Services Research & Primary Care, University of Manchester.

Jamie Kirkham is a Professor of Biostatistics at the University of Manchester, having previously held a post for 13 years at the University of Liverpool.  He joined Manchester in June 2019 and his role focuses on statistical and methodological research for clinical trials and systematic reviews. He has expertise in outcomes based research, particularly in the field of core outcome set (COS) development and outcome reporting in clinical trials.  He is also interested in study misconduct, associated biases and the potential impact these failings have on evidence-based decision-making, when important outcomes from studies are not measured or selectively reported.

Jamie is also a Statistics Editor for the BMJ and has an interest in Journalology (publication science).