You will be guided through a case study (CheckMate 037) and interactively deepen the knowledge to gain hands-on experience in developing estimands. You will be introduced to the background and disease context of the case study, the concept of an estimand, and important clinical events (increased dropout rate and crossover therapy) that occurred in the trial and affected interpretation of the results. Using non-technical language and clear graphical presentation of the concepts, you will experience how the estimand framework provides a common language to describe the diversity of patient journeys and why it is important to address the right question in clinical trials. Target audience (no prior knowledge in oncology or of estimands required): Clinicians, Investigators, Regulatory Experts, Medical Writers, Ethics Committees, Statisticians.
Latest Resource
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STInG Chat – How to build a career as a clinical trials biostatistician
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Webinar recording: Historical and non-concurrent controls in clinical trials
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STInG Chat – ‘Securing Funding: Tips and Tricks for Investigator Grants’
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Webinar recording: Introduction to Git for Clinical Statisticians
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The processes involved in a Data and Safety Monitoring Board/Committee with special reference to the role of the various statisticians
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ACTA STInG grant advice for trial statisticians
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ACTA STInGChat – ‘Climbing the Career Cascade’
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Seamless Phase 2_3 Trials in Oncology
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Career paths for academic biostatisticians
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ACTA STInG: N-of-1 Trials Webinar Series – Webinar 2
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ACTA STInG: N-of-1 Trials Webinar Series – Webinar 1
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Effective strategies to manage data integrity risks webinar
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The Data Lifecycle: Ethical use of data webinar
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Transparency in data analyses webinar
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Webinar PIONEERing estimands in Clinical Research
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Estimands: Not just a statistical issue
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Resource for trial statisticians planning to apply for an academic promotion
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Guidance on Peer Reviewing the Statistical Aspects of a Medical Paper
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Protocols and Statistical Analysis Plans (SAPs) for Adaptive and Platform Trials
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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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Data and Safety Monitoring Boards Webinar Series: Statistical Principles
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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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Bayesian adaptive randomised clinical trials flyer
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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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ACTA STInG Submission to the NHMRC Structural Review