admiralophtha: ADaM in R Asset Library - Ophthalmology

Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package).

See also

Useful links:

• https://pharmaverse.github.io/admiralophtha/

• https://github.com/pharmaverse/admiralophtha/

• Report bugs at https://github.com/pharmaverse/admiralophtha/issues/

Author

Maintainer: Edoardo Mancini edoardo.mancini@roche.com (ORCID)

Authors:

• Ritika Aggarwal ritika.aggarwal@novartis.com

• Jane Gao jane.gao@roche.com

• William Holmes william.holmes@roche.com

• Josie Jackson josie.jackson@roche.com

• Sonali Jain sonali.jain@novartis.com

• Yuki Matsunaga yuki.matsunaga@novartis.com

• Gordon Miller gordon.miller@roche.com

• Rachel Linacre rachel.linacre@roche.com

• Lucy Palmen lucy.palmen@roche.com

• Nandini R Thampi nandini.rajendhiran@novartis.com

• Aldrich Salva salva.aldrich@gene.com