In this episode, Jullia and Tom unpack how real world data is analysed to complement clinical trials, exploring their main sources and how they support trial decisions.
In this episode, Jullia and Tom examine how machine learning is being applied across the pharmaceutical industry, focusing on where these methods deliver real value.
In this episode, Jullia and Tom explore what medical coding in clinical data management is and why it plays a central role in submissions and analysis-ready datasets.
In this episode, Jullia and Tom unpack the proportional odds assumption, explaining what it means in practice and why it matters for the credibility of trial conclusions.
In this episode, Jullia and Tom unpack query management in clinical trials, explaining what they are and how a well-designed process is essential for reliable data.
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.
In this episode, Jullia and Tom unpack data reconciliation in clinical data management — what it is, why it underpins data integrity and safety oversight.
In this episode, Jullia and Tom demystify data validation in clinical data management, discussing how risk-based approach safeguards data integrity and supports lock.