EPISODE · May 22, 2026 · 8 MIN
Episode 47: The Creation of ADaM Datasets for PK Analysis
from QCast: Data-Driven Dialogue in Drug Development · host Quanticate
In this QCast episode, Jullia and Tom discuss how ADaM datasets are created for pharmacokinetic, or PK, analysis. They look at the role of ADPC for concentration data and ADPP for derived PK parameters, including how these datasets relate to SDTM PC and PP. The episode also covers why timing, dosing information, analysis values, flags and study-specific rules matter when preparing PK data for reporting and review.Key TakeawaysADPC supports PK concentration data, while ADPP supports derived PK parameters such as Cmax, Tmax, AUC and half-life. Both datasets help turn PK data into an analysis-ready structure.PK results depend on the relationship between dosing and sample collection. Planned and actual time points, relative time variables and pre-dose samples all need careful handling.Analysis values, flags and criteria variables help show which records were analysed, which were excluded and why. This makes PK outputs easier to review and reproduce.🔗 Learn More & Get Support: Visit quanticate.com to explore our biometrics services and discover how we can support your next clinical trial. 📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.🔔 Stay Connected: Subscribe to QCast on Apple Podcasts, Spotify, or your favourite platform to never miss an episode.About QuanticateFounded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:Clinical Data Capture & ManagementBiostatistics & Statistical ConsultancyStatistical Programming & PK/PD AnalysisMedical Writing & PharmacovigilanceRegulatory & Submission SupportAI & AutomationPost-Marketing Safety & Real-World DataQuanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.
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In this QCast episode, Jullia and Tom discuss how ADaM datasets are created for pharmacokinetic, or PK, analysis. They look at the role of ADPC for concentration data and ADPP for derived PK parameters, including how these datasets relate to SDTM PC and PP. The episode also covers why timing, dosing information, analysis values, flags and study-specific rules matter when preparing PK data for reporting and review. Key Takeaways ADPC supports PK concentration data, while ADPP supports derived ...
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Episode 47: The Creation of ADaM Datasets for PK Analysis
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