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Migrating to LSAF – The Danone Nutricia Research Journey – P. Vervuren & JM. Ferran (PHUSE EU Connect, Amsterdam, 2019)

Migrating to LSAF – The Danone Nutricia Research Journey – P. Vervuren & JM. Ferran (PHUSE EU Connect, Amsterdam, 2019)

by Jean-Marc Ferran | Nov 24, 2019 | Statistical Computing Environments

This paper summarises an LSAF implementation run with Danone Nutricia Research over a period of 10 months in 2018. Qualiance co-led this project, and this paper highlights the approach we followed with Danone, as well as some recommendations and learnings.
Managing Program Development Life Cycles in SAS LSAF – JM. Ferran & B. Klein (PHUSE Utrecht SDE, 2019)

Managing Program Development Life Cycles in SAS LSAF – JM. Ferran & B. Klein (PHUSE Utrecht SDE, 2019)

by Jean-Marc Ferran | Oct 17, 2019 | Statistical Computing Environments

Managing program development life cycles efficiently is often a challenge in clinical study reporting. This conference presentation details the implementation of a simple Development Life Cycle in LSAF and how it is used at Ferring Pharmaceuticals.
Migrating to LSAF – The Danone Nutricia Research Journey – P. Vervuren & JM. Ferran (PHUSE EU Connect, Amsterdam, 2019)

Managing Program Development Life Cycles in SAS LSAF – JM. Ferran (PHUSE US Connect, Raleigh, 2018)

by Jean-Marc Ferran | Jun 6, 2018 | Statistical Computing Environments

Managing program development life cycles efficiently is often a challenge in clinical study reporting. Manual processes often lead to inconsistencies and audit findings. This conference paper details the implementation of a simple Development Life Cycle in...
Managing Program Development Life Cycles in SAS LSAF – JM. Ferran & B. Klein (PHUSE Utrecht SDE, 2019)

Review and Highlights of the 2016 Survey of the Top 20 Biopharmaceutical Companies’ Statistical Computing Environments – JM. Ferran & J. McDermott (PHUSE SDE, Basel, 2017)

by Jean-Marc Ferran | May 19, 2017 | Statistical Computing Environments

This presentation features main findings and trends from a survey conducted for Novartis with 15 of the top 20 pharmaceutical companies about their Statistical Computing Environments, their usage and evaluation.
Managing Program Development Life Cycles in SAS LSAF – JM. Ferran & B. Klein (PHUSE Utrecht SDE, 2019)

SDD APIs: Extending the Capabilities of SAS Drug Development – JM. Ferran (SAS SDD Briefing, Copenhagen, 2014)

by Jean-Marc Ferran | Sep 10, 2014 | Statistical Computing Environments

This presentation features the SDD APIs and implementation examples, as well as highlights from the latest API release including possible applications.
Managing Program Development Life Cycles in SAS LSAF – JM. Ferran & B. Klein (PHUSE Utrecht SDE, 2019)

Developing an Integrated Platform: Getting the Best out of Several Technologies – JM. Ferran (PHUSE Annual Conference, Brussels, 2013)

by Jean-Marc Ferran | Oct 20, 2013 | Statistical Computing Environments

This presentation features the technical design of an application for Standards Management built for a top 5 pharmaceutical on top of LSAF (formerly SAS DD), where Java, SAS and Oracle technologies were all used and integrated to work at full strength.

Recent Posts

  • Long-Term Effectiveness and Safety of Childhood Growth Hormone Treatment in Noonan Syndrome – Roher et al. (HRiP, 2021)
  • Clinical Document Anonymization and Disclosure, a Global Perspective – JM. Ferran (CBI Data Disclosure Conference, Coral Gables, 2020)
  • Growth Hormone Replacement in Adults: Real-World Data from Two Large Studies in US and Europe – Weber et al. (GHIR, 2020)
  • PHUSE US Connect 2020
  • CBI Clinical Data Disclosure 2020

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