QCast Episode 55: What is Adaptive Trial Design?
In this episode, Jullia and Tom examine how adaptive trial design allows pre-specified changes to a clinical trial using accumulating interim data.
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QCast Episode 54: SAS vs R vs Python in Clinical Trials
In this episode, Jullia and Tom explore how SAS, R, and Python are used across clinical reporting, statistical analysis, automation, and data integration.
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QCast Episode 53: Decentralised Clinical Trials
In this episode, Jullia and Tom discuss decentralised clinical trials and what they mean for clinical development teams in practice.
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QCast Episode 52: The Global Statistical Test for Multiple Endpoint Analysis
In this episode, Jullia and Tom discuss the Global Statistical Test for multiple endpoints analysis and why it can be useful for clinical trial needs.
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QCast Episode 51: CDASH Standards and Conformance in Clinical Data Management
In this episode, Jullia and Tom discuss CDASH standards and conformance in CDM, focusing on where it sits in clinical data flow before data reaches SDTM.
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QCast Episode 50: Multi-Omics Application in Personalised Medicine Studies
In this episode, Jullia and Tom discuss how genomic, transcriptomic, proteomic, metabolomic and other biological data layers can be analysed together.
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QCast Episode 49: BIMO Listings
In this episode, Jullia and Tom discuss BIMO listings and their role in FDA inspection readiness.
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QCast Episode 48: Efficacy Endpoints in Oncology Clinical Trials
In this episode, Jullia and Tom discuss efficacy endpoints in oncology clinical trials and why endpoint choice shapes how treatment benefit is assessed.
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QCast Episode 47: The Creation of ADaM Datasets for PK Analysis
In this episode, Jullia and Tom discuss how ADaM datasets are created for pharmacokinetic, or PK, analysis.
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QCast Episode 46: What is Clinical Data Review?
In this episode, Jullia and Tom discuss clinical data review as an active part of study oversight, rather than a late-stage clean-up exercise.
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