Beschreibung
Webinar: From Data to Insight – Data Management and Analysis in Clinical Trials
Basis Webinar, 19.09.2025
Beginn: 10:00 Uhr
Ende: ca. 11:30 Uhr
Themengebiet: GCP
How is data handled in clinical trials – and how does it become evidence for regulatory decisions?
In this session, we will take a deep dive into the data flow in clinical research, following the journey from data entry and cleaning through to analysis. You will learn how a Data Management Plan (DMP) structures this process and ensures compliance and quality across all stages.
We’ll then focus on the statistical analysis pipeline, from the creation of a Statistical Analysis Plan (SAP) to the use of industry standards like CDISC SDTM and ADaM. You’ll also get an overview of common programming languages and tools used in clinical data science – including SAS, R, SQL, and Phyton.
Turn Data into Trusted Evidence
Join this webinar to explore how raw clinical data is transormed into reliable, and interpretable -ready results. Whether you work hands-on with data or are managing teams and processes, this session gives you the insights you need to make data work for science – and for patients.
Additional Module
- Clinical Trials – The Data Science Perspective
Book both modules an save 15 %
Key Topics at a Glance
- Clinical Data Flow: From collection to analysis
- Data Management Plan (DMP): Structure, compliance, and documentation
- Data Handling Stages:
- Data entry
- Data processing
- Data cleaning
- Statistical Analysis:
- Statistical Analysis Plan (SAP)
- CDISC standards: SDTM and ADaM
- Tools of the Trade:
- SAS, R, SQL, Phthon
- What’s Next:
- Outlook on Machine Learning in clinical research
Who Should Attend?
- Aspiring or early-career Data Scientists, Statisticians, and Programmers
- Professionals exploring a transition into clinical research or pharmaceutical development
- Specialists working in or with pharma companies, biotech firms, or CROs
Relevant industries
- Clinical Research & Development
- Pharmaceuticals & Biotechnology
Webinar: From Data to Insight – Data Management and Analysis in Clinical Trials (19.09.2025)
