QCast Episode 22: Quality Tolerance Limits in Clinical Trials
In this episode, Jullia and Tom explore quality tolerance limits in clinical trials, explaining what they are and how they support risk-based quality management.
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QCast Episode 21: The Role of Reconciliation in Clinical Data Management
In this episode, Jullia and Tom unpack data reconciliation in clinical data management — what it is, why it underpins data integrity and safety oversight.
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QCast Episode 20: Missing Data in Clinical Trials
In this episode, Jullia and Tom examine missing data in clinical trials and what good sensitivity work and reporting look like for credible results.
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QCast Episode 19: Data Validation in Clinical Data Management
In this episode, Jullia and Tom demystify data validation in clinical data management, discussing how risk-based approach safeguards data integrity and supports lock.
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QCast Episode 18: Real World Evidence in Clinical Trials
In this episode, Jullia and Tom unpack the impact and important use cases of real-world evidence and data in modern drug development.
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QCast Episode 17: Dose Expansion Phases in Oncology Trials
In this episode, Jullia and Tom explore the dose expansion phase of phase one oncology trials, the critical bridge between dose finding and proof of concept.
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QCast Episode 16: Statistical Analysis Plans (SAPs)
In this episode, Jullia and Tom explore statistical analysis plans (SAPs), the blueprints that define how clinical trial data is turned into evidence.
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QCast Episode 15: CRF Annotation in Clinical Trials
In this episode, Jullia and Tom unpack case report form annotation in clinical trials and why it sits at the heart of traceability.
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QCast Episode 14: Using R Programming for Clinical Trial Data Analysis
In this episode, Jullia and Tom break down how the R programming language is being used in clinical trial data analysis and its role across the trial lifecycle.
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QCast Episode 13: Estimands in Clinical Trials
In this episode, Jullia and Tom demystify estimands and show how a clear question, defined up front, sharpens trial design, data capture, and analysis.
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