Thank you!
Thank you for attending the APT Scientific Meeting from September 28 to 29, 2023. You can download the presentations and watch the session recordings below.
Presentations
Day 1: September 28
09:15-10:00
Understand the basics of adaptive platform trials and their advantages over traditional randomized controlled trials
Dr. Angela Cheung
10:00-12:00
Learn about complex adaptive platform trials and their designs:
1 simple and elegant APT study involving response-adaptive randomization: Dr. John Marshall (REMAP-Cap) Download the slides
1 simple and elegant study involving adaptive intervention arms: Dr. Jamie Forrest (TOGETHER) Download the slides
1 large study that adopted a traditional RCT design, but would have benefited from an adaptive platform trial design: Dr. Rubeshan Perumal
Contact Dr. Perumal for questions about his presentation: Rubeshan.Perumal@caprisa.org
13:00-13:45
Learn practical techniques for conducting simulation studies for sample size estimation, and gain understanding of Bayesian methods and sequential hypothesis testing in the context of adaptive platform trials
Dr. Anna Heath
13:45-14:30
Learn about the statistical considerations in design of Bayesian adaptive trials and performing simulation studies required for the design. Attendees will have access to worked out examples presented using R.
Dr. Haolun Shi
14:30- 15:15
Learn about the Bayesian adaptive trial design through two case studies: 1) a multi-arm, multi-stage adaptive trial design with individually RCT; 2) an adaptive cluster RCT
Dr. Ofir Harari
15:15- 16:00
To examine whether Bayesian methodology offers a more reliable alternative to traditional frequentist methods in conducting child health research trials, and to investigate if there’s a significant clustering around P-values in randomized controlled trials (RCTs) within this field, using data from two cohorts published in 2007 and 2017
Dr. Alex Aregbesola
16:15-16:30
Evaluating Platform Designs for Clinical Trials in Patients with Mild Cognitive Impairment (Presenter: Qirui (Dylan) Hou; University of Toronto) Download the slides
16:30- 16:45
This is our chance to get results fast”: Moral experiences of clinician-investigators and staff involved in adaptive trials during the first wave of the COVID pandemic (Presenter: Rachel Yantzi, McMaster University) Download the slides
16:45- 17:00
Identifying Patient Subgroups with Treatment Effect Heterogeneity in Adaptive Platform Trials (Presenter: Xianglin Zhao; McGill University) Download the slides
17:00- 17:15
Enhancing the Efficiency of Adaptive Platform Trials Through the Exploration of Alternative Treatment Ranking Methods (Presenter: Abigail McGrory, University of Toronto) Download the slides
Day 2: September 29
8:30-9:30
To discuss ethical challenges in adaptive platform trial design and analysis and explore solutions
Dr. Ross Upshur
9:30-10:15
Discuss practical challenges in adaptive platform trials and how to overcome them
Dr. Ly-Mee Yu
10:30-11:15
To present reflections on ethical and practical challenges of implementing GPP-EP for adaptive platform trials from experience during COVID-19
Dr. Lisa Schwartz
11:15-12:00
Learn about grant writing and protocol development for adaptive platform trials
Dr. Andrew Pinto
Scientific Committee
Andrew Pinto
MD CCFP FRCPC MSc
Benita Hosseini
PhD
Angela Cheung
PhD, MD, FRCPC
Alan Katz
CCFP, MBChB, MSc
Rubeshan Perumal
MPH, MMed, MPhil
Conference Objectives
Understand the concept and advantages of adaptive platform trials over traditional randomized controlled trials
Understand the statistical methods used in adaptive platform trials, including Bayesian methods and sequential hypothesis testing
Identify the practical challenges associated with adaptive platform trials and learn how to address them
Attendees
Scientists, Statisticians, Clinical Project Managers, Clinical Research Advisors, Clinical Trial Directors, Early Career Researchers and Trainees
Presenters
Experts from Canada, United Kingdom and South Africa shared their work at the APT Scientific Meeting
Abstracts
Trainees presented their research showing relevance to APTs or evaluating APT design, methods or approach in comparison to other studies