QCast: Data-Driven Dialogue in Drug…

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Episode 19: Data Validation in Clinical Data Management

Épisode 19

vendredi 31 octobre 2025 • Durée 12:38

In this QCast episode, Jullia and Tom demystify data validation in clinical data management — how a lean, risk-based approach safeguards data integrity and supports confident database lock, inspection readiness, and downstream SDTM and ADaM deliverables.

Key Takeaways

Prioritise a lean Data Validation Plan that targets critical data, tunes top checks, controls changes and captures test evidence.
Treat third-party data as first-class by standardising units and timestamps, validating imports and reconciling on a steady cadence.
Connect monitoring and validation with shared dashboards, agreed thresholds and coordinated actions to focus effort and cut noise.
Prove and improve by tracking balanced metrics, holding post-lock retrospectives and promoting proven rules into a reusable library.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis
Medical Writing & Pharmacovigilance
Regulatory & Submission Support
AI & Automation
Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.

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Episode 18: Real World Evidence in Clinical Trials

Épisode 18

vendredi 24 octobre 2025 • Durée 12:02

In this QCast episode, Jullia and Tom unpack real-world evidence in modern drug development — what distinguishes real-world data from the evidence it enables, and how to apply it alongside randomised trials.

Key Takeaways

Start with the decision, emulate the target trial, and justify methods with clear diagnostics.
Make data fitness and governance non-negotiable: provenance, completeness, traceability, privacy, and compliant linkage.
Use RWE to complement trials; for external controls, ensure clinical comparability and robust confounding control.
Build reproducible capability: curated common data models, versioned code, audit trails, and checks for biases like time zero and overlap.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis
Medical Writing & Pharmacovigilance
Regulatory & Submission Support
AI & Automation
Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.

Episode 17: Dose Expansion Phases in Oncology Trials

Épisode 17

vendredi 17 octobre 2025 • Durée 13:12

In this QCast episode, Jullia and Tom explore the dose expansion phase of phase one oncology trials — the critical bridge between dose finding and proof of concept. They discuss how expansion cohorts confirm safety, explore early efficacy signals, and refine dose and schedule decisions, along with best practices for design, governance, and regulatory alignment that set the stage for a successful phase two.

Key Takeaways

Treat the dose expansion phase as a structured bridge between dose finding and phase two readiness.
Define clear objectives, eligibility criteria, and decision rules for each cohort to maintain scientific focus.
Align dose and schedule choices with exposure–response evidence and biological rationale.
Build flexibility into the protocol through controlled adaptation and version management.
Use pragmatic endpoints — safety, tolerability, and early activity — to inform, not confirm, efficacy.
Maintain data integrity with cohort tagging, consistent assessments, and audit-ready documentation.
Carry forward lessons on dose, population, and endpoints to streamline the next phase of development.

🔗 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 Quanticate

Founded 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:

Episode 16: Statistical Analysis Plans (SAPs)

Épisode 16

vendredi 10 octobre 2025 • Durée 13:41

In this QCast episode, Jullia and Tom unpack Statistical Analysis Plans (SAPs) — the blueprints that define how clinical trial data are turned into evidence. They explore what a SAP includes, how it links to the protocol and estimand framework, and the controls that keep analyses credible, reproducible, and inspection-ready.

Key Takeaways

Treat the SAP as the bridge between protocol intent and statistical execution.
Anchor all analyses to the estimand framework to maintain alignment and interpretability.
Finalise and version-control the SAP before data lock to prevent bias and audit issues.
Define derivations, flags, and datasets explicitly to enable traceable, reproducible code.
Keep interim analysis logic clear, with independent oversight and documented firewalls.
Apply disciplined change control and independent quality checks throughout analysis.
Make every method explainable to clinicians — clarity, not complexity, drives confidence.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis

Episode 15: CRF Annotation in Clinical Trials

Épisode 15

vendredi 3 octobre 2025 • Durée 12:30

In this QCast episode, Jullia and Tom demystify case report form annotation in clinical trials. They explain what an annotated CRF is, why it is central to traceability and compliance, and how teams use CDASH at collection and SDTM at tabulation to keep mappings clean.

Key Takeaways

Treat the annotated CRF as the contract between collection and analysis to ensure end-to-end traceability.
Start from CDASH templates and map cleanly to SDTM; extend standards only with clear rationale.
Lock units and controlled terminology early to avoid reconciliation churn and mapping gaps.
Run cross-functional reviews with data management, programming, statistics, and safety before go-live.
Manage changes with controlled versions, dated effective changes, and clear training for sites.
Document external data sources and transformation notes in the aCRF to unify all acquisition channels.
Avoid free text where coded lists fit, and annotate conditional logic to prevent false “missing” patterns.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis

Episode 14: Using R Programming for Clinical Trial Data Analysis

Épisode 14

jeudi 25 septembre 2025 • Durée 12:28

In this QCast episode, Jullia and Tom break down how the R programming language is being used for clinical trial data analysis. They explore its role across the trial lifecycle, from planning and cleaning through efficacy, safety, and reporting.

Key Takeaways

Use the language for simulations, cleaning, modelling, safety, and reporting across the trial lifecycle.
Build “reporting datasets” to simplify creation of inspection-ready tables and figures.
Validate processes with pinned versions, documentation, and independent review.
Start small with pilot outputs, then scale once confidence and consistency are proven.
Automate style elements and maintain version control to ensure reproducibility.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis
Medical Writing & Pharmacovigilance
Regulatory & Submission Support
AI & Automation
Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.

Episode 13: Estimands in Clinical Trials

Épisode 13

vendredi 19 septembre 2025 • Durée 12:08

In this QCast episode, Jullia and Tom demystify estimands and show how a clear question, defined up front, sharpens trial design, data capture, and analysis. They unpack the four elements, explain practical strategies for handling intercurrent events, and discuss picking summary measures that clinicians and payers can interpret.

Key Takeaways

Define the estimand early and in plain language; align objectives, CRFs, and the analysis plan to the same question.
Match intercurrent event strategy to the decision: treatment policy, composite, hypothetical, while-on-treatment, or principal stratum.
Choose summary measures that aid decisions—consider restricted mean survival time when hazards are non-proportional.
Select an estimator that truly targets the estimand and pre-specify two or three focused sensitivity analyses.
Avoid pitfalls: do not conflate missing data with intercurrent events, and prevent inconsistencies across protocol, SAP, and data capture.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis
Medical Writing & Pharmacovigilance

Episode 12: AI and Automation in Clinical Data Management

Épisode 12

vendredi 12 septembre 2025 • Durée 13:23

In this QCast episode, Jullia and Tom explain how AI and automation make clinical data work smoother from smarter screening and electronic consent to streaming device data, auto-summarising notes, targeted monitoring, and faster reports. They outline the basics for linking core trial systems, clarify what regulators expect on validation and audit trails, and share a simple first-year plan with quick wins and common traps to avoid.

Key Takeaways

Start small with a high-value workflow, define success measures, and scale proven patterns.
Automation standardises execution; AI prioritises attention—together they surface issues earlier and speed decisions.
Interoperability and governance matter most: integrate core systems, enforce role-based access, encryption, and complete audit trails.
Quick wins include NLP-assisted coding and simple RBM rules; benchmark against a baseline to show impact.
Treat models like regulated components: document purpose and training data, validate performance, monitor over time, and revalidate when processes change.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy

Episode 11: A Guide to Virtual Clinical Trials

Épisode 11

vendredi 5 septembre 2025 • Durée 12:51

In this QCast episode, Jullia and Tom explore the rise of virtual clinical trials—what they are, when they work best, and how to design them without compromising safety or data quality. They cover the regulatory expectations across the US, EU, and UK, walk through a participant’s journey in a decentralised model, explain how oversight, technology, and logistics must align for success, highlight pitfalls that commonly derail virtual studies, and share the practical safeguards that make them work.

Key Takeaways

Match each procedure to the safest and most reliable setting; not everything should move off-site.
Regulators expect clear PI oversight, data integrity controls, and proportionate monitoring.
Technology must be validated, user-friendly, and backed by strong audit trails and contingency plans.
Inclusion requires more than access; design choices and support determine who can truly participate.
A risk-based assessment, mapped data flows, and realistic fallbacks are the fastest way to build resilience.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis

Episode 10: Managing Clinical Data Challenges with a DSMB

Épisode 10

jeudi 28 août 2025 • Durée 12:03

In this QCast episode, Jullia and Tom uncover how Data and Safety Monitoring Boards (DSMBs) keep trials safe and on track—what they are, when you need one, and how to avoid data pitfalls at interim looks. They unpack the DSMB charter versus the Data Safety Monitoring Plan, translate stopping boundaries into plain English, and share practical tactics for clean, blinded packages that enable confident decisions.

Key Takeaways

Proportional oversight keeps risk in check; higher-risk or adaptive trials benefit most from a DSMB.
Keeping roles separate ensures accountability; the DSMB advises and ethics committees approve changes.
The charter sets rules for the board, while the monitoring plan guides day-to-day safety review.
Strong data discipline such as aligned entry targets, reconciled external feeds, protected blinding, and a rehearsed packet keeps interim looks clean.
Clear, pre-agreed data flows and decision language prevent delays and accidental unblinding.

🔗 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 Quanticate

Founded 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 & Management
Biostatistics & Statistical Consultancy
Statistical Programming & PK/PD Analysis
Medical Writing & Pharmacovigilance

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