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We are pleased to announce that we will be presenting at PHUSE Europe, the premier event where data science, statistical programming and innovative technology unite to shape the future of clinical development.
Make sure you join our presentations and discover how our Statistical Programming team can support you in accelerating your reporting and submissions with maximum quality.
Want to connect at PHUSE EU? Contact us to set up a meeting!
November 12
2:30 PM
Speakers:
Luca Semeraro,
Statistical Programmer, Alira Health
Ensuring compliance with the electronic submission guidelines set forth by the FDA and the PMDA for data submitted in a standardized CDISC format has become increasingly crucial. Currently, the task of submitting identical electronic data packages to both agencies poses certain challenges. However, understanding these regulatory requirements is essential for effectively planning, developing, and submitting study data deliverables. To shed light on this complex landscape, the presentation highlights both the similarities and differences between the FDA and PMDA guidelines for CDISC-standardized data submission. Following this comparative overview, the presentation offers a detailed analysis of specific PMDA requirements. Additionally, the presentation includes examples from two case studies that demonstrate the practical application of these guidelines and the challenges faced during package preparation. This approach aims to equip stakeholders with a comprehensive understanding of the regulatory landscape, facilitating smoother and more compliant submissions to both regulatory agencies.
November 13
1:30 PM
Speakers:
Renate Scheiner-Sparna, Principal Statistical Programmer, Alira Health
A data integration has to cover different requirements of the sponsor (ISS, ISE, publications, requests from authorities, management decisions). This presentation compares different structures of ADSL and BDS datasets to meet these expectations. ADSL has one line per subject and study. The integrated period can be represented either by integrated variables, or by a separate line, which covers all the single studies. The identifiers allow for either drawing information on the whole period, or on one or more of the single studies. The entities of the single studies can be used as a whole, or one or more can easily be selected. Code examples of the use will be presented in R and SAS. The structures will be compared to the ones presented in two earlier publications (Zhong W et al., pharmasug 2018; Phelan L et al., phuse connect EU 2019).
November 13
2:00 PM
Speakers:
Salomo Benedikt Sparna, Richard-Fehrenbach-Gewerbeschule
Renate Scheiner-Sparna, Principal Statistical Programmer, Alira Health
eCRF forms are normally exported from the data capture systems in PDF, in this format they are annotated according to CDISC SDTM standard. The annotations are meta-information that can be further processed for programming specifications or other purposes. This presentation shows how to export the annotations to a pre-structured Excel file using Python. In addition to exporting the annotation fields to Excel rows, information can be added, e.g. for standard variables that are always present in CDISC SDTM standard. Reading and modifying data from PDF files is also useful for cleaning messy files that contain more than one generation of annotations. Some older annotations are no more in text boxes, but embedded in the PDF body. This can be harmonized using Python. Modified information can also be written back to the PDF file. Examples for both applications will be shown. The code will be available on GitHub.
Renate Scheiner-Sparna
Principal Statistical Programmer
Renate Scheiner-Sparna has 25 years of statistical programming experience across multiple contract research organizations and research institutions, where she gained vast experience in the programming of analyses, many dealing with data integration in clinical data interchange standards consortium.Renate is a certified Statistical Analysis System (SAS) expert with numerous publications in the field of statistical programming. She has given multiple presentations and workshops at the German SAS user Conference for Data Science.
Luca Semeraro
Statistical Programmer
Luca Semeraro specializes in supporting the programming activities on clinical studies, programming clinical data interchange standards consortium, study data tabulation model (SDTM), and analysis data model (ADaM) datasets and other statistical analysis results. Luca is an expert in the preparation of SDTM and ADaM packages and associated documentation for submission to the Food and Drug Administration and the European Pharmaceuticals and Medical Devices Agency. Luca has a Bachelor of Science and a Master of Science in mathematical engineering from the Polytechnic of Turin, Italy.
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