Qualiance
  • About
    • About Qualiance
    • Key Facts
    • Management
    • Customers & Assignments
    • Customers Feedback
  • Services
    • Analytics
    • Statistical Computing Environments
    • Data Anonymisation & Sharing
  • News
  • Resources
    • Publications
    • Blog
  • Contact
Select Page
R and SAS working together – DNR’s experience moving to LSAF 5.3 – P. Vervuren & JM. Ferran (PHUSE EU Connect (Virtual), 2021)

R and SAS working together – DNR’s experience moving to LSAF 5.3 – P. Vervuren & JM. Ferran (PHUSE EU Connect (Virtual), 2021)

by Jean-Marc Ferran | Nov 29, 2021 | Statistical Computing Environments

This conference presentation summarises the approach and findings in implementing R within LSAF 5.3 at Danone Nutricia Research over a period of 9 months in 2021. Qualiance co-led this project, and this paper highlights the approach we followed with Danone, as well as...
R and SAS working together – DNR’s experience moving to LSAF 5.3 – P. Vervuren & JM. Ferran (PHUSE EU Connect (Virtual), 2021)

Manage TFLs Development in Life Science Analytics Framework 5.3 using SAS and R code – JM. Ferran & S. Rogiers (PHUSE EU Connect (Virtual), 2020)

by Jean-Marc Ferran | Dec 14, 2020 | Statistical Computing Environments

This conference presentation highlights the findings from a prototype in LSAF 5.3 around the management of both SAS and R programs using the new TFL metadata module in combination with workflows.
R and SAS working together – DNR’s experience moving to LSAF 5.3 – P. Vervuren & JM. Ferran (PHUSE EU Connect (Virtual), 2021)

Checking the Completeness of Validated SAS Programs in LSAF – H. Ament & JM. Ferran (PHUSE EU Connect (Virtual), 2020)

by Jean-Marc Ferran | Dec 12, 2020 | Statistical Computing Environments

This conference presentation outline the implementation of a simple Development Life Cycle in LSAF, supporting tools to check dependencies and report on status and how it is used at Danone Nutricia Research.
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.
R and SAS working together – DNR’s experience moving to LSAF 5.3 – P. Vervuren & JM. Ferran (PHUSE EU Connect (Virtual), 2021)

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...
« Older Entries

Recent Posts

  • R and SAS working together – DNR’s experience moving to LSAF 5.3 – P. Vervuren & JM. Ferran (PHUSE EU Connect (Virtual), 2021)
  • Pregnancy outcomes in women receiving growth hormone replacement therapy enrolled in the NordiNet® International Outcome Study (IOS) and the American Norditropin® Studies: Web-Enabled Research (ANSWER) Program – Biller et al. (Pituitary, 2021)
  • Long-term safety of growth hormone treatment in childhood: Two large observational studies NordiNet ® IOS and ANSWER – Sävendahl et al. (JCEM, 2021)
  • Long-Term Effectiveness and Safety of Childhood Growth Hormone Treatment in Noonan Syndrome – Roher et al. (HRiP, 2021)
  • Manage TFLs Development in Life Science Analytics Framework 5.3 using SAS and R code – JM. Ferran & S. Rogiers (PHUSE EU Connect (Virtual), 2020)

Recent Comments

    Archives

    • November 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • January 2019
    • June 2018
    • November 2017
    • May 2017
    • June 2016
    • October 2015
    • June 2015
    • September 2014
    • May 2014
    • October 2013
    • April 2012
    • November 2011

    Categories

    • Analytics
    • Blog
    • Data Anonymisation & Sharing
    • News
    • Statistical Computing Environments

    Meta

    • Log in
    • Entries RSS
    • Comments RSS
    • WordPress.org
    • Cookie Policy
    • Facebook
    • Twitter
    • linkedin
    Copyright © 2019 Qualiance - Development by Digitalisert AS
    This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.Accept Reject Read More
    Privacy & Cookies Policy

    Privacy Overview

    This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
    Privacy Overview

    This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.

    Necessary Always Enabled

    Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

    Non-necessary

    Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.