ViCBiostat Summer School 2021, proudly supported by ACTA
Clinical studies aim to quantify the treatment effect associated with the primary study question. Estimating this treatment effect in a randomised controlled trial can be challenging in the presence of post-randomisation events such as use of rescue medication or stopping, switching between treatment arms, or missing data. These issues may lead to difficulties in the interpretation of the treatment effect estimate and affect the validity of the study findings. The estimands framework, presented in the International Council for HarmonisationE9 (R1) Addendum, bridges the gap between the study objectives and the statistical analysis. It adds clarity to trial objectives, informs the study design and data collection, and determines the choice of statistical analysis methods. This half-day workshop will cover why, how, who and when to define and document estimands based on internationally agreed guidelines. It is designed for participants with some knowledge of implementing a clinical trial within any discipline. Participants will workshop estimands within cross-disciplinary breakout groups.
Trials with similar, or even identical, objectives can produce highly variable reports of treatment effect. Whilst some of this variability can be attributed to chance, other factors, such as eligibility for the analytic population, correction for post-randomisation events (e.g., use of rescue medication, stopping or switching treatment), adjustment for missing data and choice of statistical analysis, need greater clarity to ensure that the reported treatment effect is not misunderstood. Estimands provide a framework to incorporate these factors at the trial’s design stage by linking the treatment effect of greatest relevance to regulatory and clinical decision making to the trial’s objective.
This half-day workshop will cover why, how, who and when to define and document trial estimands based on internationally agreed guidelines. It is designed for participants with some knowledge of implementing a clinical trial within any discipline. Participants will workshop estimands within cross-disciplinary breakout groups.
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ACTA STInG: N-of-1 Trials Webinar Series – Webinar 1
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Estimands: Not just a statistical issue
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Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 1
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Data and Safety Monitoring Boards Webinar Series: How to plan well and be prepared for the unexpected
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Joint webinar on estimands in clinical trials
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Statistical Analysis Plan (SAP)
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Data Safety and Monitoring Boards (DSMB) for Adaptive Trials Webinar video
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ACTA STInG Notes from Members’ meeting, October 2019
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ACTA STInG 2017 Member Survey Results
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Webinar: Introduction to Git for Clinical Statisticians
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ACTA STInG – Stata and R Markdown Demonstrations
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Clinical Trials 2021: National Tribute and Award Ceremony
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Practical approaches to Adaptive Trial Simulation
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An Introduction to Adaptive Trial Designs
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Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 2
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Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 1
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Statistical principles – Data and Safety Monitoring Boards Webinar Series
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How to plan well and be prepared for the unexpected – Data and Safety Monitoring Boards Webinar Series
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Webinar: Data Safety and Monitoring Boards for Adaptive Trials
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Bayesian Adaptive Randomised Clinical Trials Workshop, Sydney
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Bayesian Adaptive Randomised Clinical Trials Workshop, Melbourne
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Bayesian Adaptive Trials Workshops: Perth