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Long-term effectiveness and safety of daily growth hormone therapy in Japanese children with Noonan syndrome: a post-marketing surveillance study – Muroya et al. (Endocrine Journal, 2025)

by Jean-Marc Ferran | Aug 16, 2025 | Analytics

This analysis of GHT in Noonan Syndrome patients in Japanese children was supported by Qualiance (Co-Author) who provided statistical support to produce the underlying analyses.

Comparative Outcomes of GH Treatment in Pediatric Idiopathic Short Stature and GH Deficiency – Phillip et al. (JES, 2025)

by Jean-Marc Ferran | Aug 16, 2025 | Analytics

This comparitive analysis of GHT in GHD and ISS patients is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Paediatric Growth Hormone Programs. Qualiance (Co-Author) provided statistical support to produce the underlying analyses.

Using RWD to Inform the Next Study: a Case Study – JM. Ferran (PHUSE Strasbourg EU Connect, 2024)

by Jean-Marc Ferran | Nov 30, 2024 | Analytics

This conference presentation shares the background of an analysis of RWD from a patients registry for ISS patients, which was then used to inform the next study on predictors of response to GHT in this disease area.

Clinical Predictors of Good/Poor Response to Growth Hormone Treatment in Children with Idiopathic Short Stature – Dauber et al. (HRP, 2024)

by Jean-Marc Ferran | Nov 21, 2024 | Analytics

This analysis of Clinical Predictors for response in ISS patients is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Paediatric Growth Hormone Programs. Qualiance (Co-Author) provided statistical support to produce the underlying...

Handling missing data in exploratory analyses using RWD, ”Collect the data you love or love the data you get” – A case study – JM. Ferran (PHUSE Birmingham EU Connect, 2023)

by Jean-Marc Ferran | Nov 25, 2023 | Analytics

This conference presentation shares the background of an analysis of RWD from a patients registry for AGHD patients for CV risk, where missing data was handled carefully to produce robust analyses.

Danone Nutricia Research’s SCE Roadmap Towards Efficiency and Automation – P. Vervuren & JM. Ferran (PHUSE Copenhagen SDE, 2023)

by Jean-Marc Ferran | Oct 20, 2023 | Statistical Computing Environments

This conference presentation summarises Danone Nutricia Research. 5-year SCE journey and how they leveraged their resources and LSAF to stay up to date and provide a modern environment to their users community. Qualiance co-led this project, and this paper highlights...

Long-term Effectiveness and Safety of GH Replacement Therapy in Adults ≥60 Years: Data From NordiNet® IOS and ANSWER – Biller et al. (JES, 2023)

by Jean-Marc Ferran | Jun 6, 2023 | Analytics

This analysis of GHT in Eldery Patients patients is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Adult Growth Hormone Programs. Qualiance (Co-Author) provided statistical support to produce the underlying analyses.

Early GH Treatment Is Effective and Well Tolerated in Children With Turner Syndrome: NordiNet® IOS and Answer Program – Backeljauw et al. (JCEM, 2023)

by Jean-Marc Ferran | Mar 22, 2023 | Analytics

This analysis of GHT for Turner Syndrome Patients patients is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Paediatric Growth Hormone Programs. Qualiance (Co-Author) provided statistical support to produce the underlying analyses.

Reduced CV risk with long-term GH replacement in AGHD: data from two large observational studies – Höybye et al. (Endocrine Connections, 2022)

by Jean-Marc Ferran | Dec 13, 2022 | Analytics

This analysis of CV risk in AGHD patients is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Adult Growth Hormone Programs. Qualiance (Co-Author) provided statistical support to produce the underlying analyses.

Managing a Custom-built SCE: The Janssen Journey for SPACE – M Bertolino & JM. Ferran (PHUSE Belfast EU Connect, 2022)

by Jean-Marc Ferran | Nov 30, 2022 | Statistical Computing Environments

This conference presentation provides insight into Janssen’s custom-built SCE journey and lessons learned along the way.

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...

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)

by Jean-Marc Ferran | Mar 21, 2021 | Analytics

This analysis of pregnancy outcomes in women receiving growth hormone is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Paediatric Growth Hormone Programs. Qualiance (Acknowledgement) provided statistical support to produce the underlying...

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