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... 
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... by Jean-Marc Ferran | Feb 21, 2021 | Analytics
This long-term safety analysis 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 analyses. by Jean-Marc Ferran | Jan 20, 2021 | Analytics
This manuscript is based on the pooled analysis of the NordiNet IOS (Europe) and ANSWER (US) Paediatric Growth Hormone Programs for patients diagnosed with Noonan Syndrome. Qualiance (Acknowledgement) provided statistical support to produce the underlying... 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.
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