Maintainer and authors
Carrie Daymont developed and maintains the child and adult algorithms. Other authors implemented the algorithm in R (converting it from its initial implementation in Stata statistical software), added associated utility functions, and developed the Shiny app.
- Carrie Daymont
- Robert W Grundmeier
- Jeffrey Miller
- Diego Campos
- Dan Chudnov
- Hannah De los Santos
- David Freedman
- Wen Hu
- Chris Penney
Other contributors
Those listed below contributed documentation, smaller amounts of code, domain input (including statistical expertise to support validation), background research, and/or administrative support. Contributors are listed alphabetically.
- Jesse Anderson
- Matt Boyas
- Lusha Cao
- Sara Couture
- Prashila Dullabh
- Jess Fernandez
- Andrew Gregorowicz
- Lyudmila Kompaniyets
- A Russell Localio
- Ruth Nwefo
- Max Olivier
- Samantha Pierce
- Michelle E Ross
- Steffani Silva
- Mithuna Srinivasan
- Marissa Sucosky
- Jennifer Wiltz
- Hanzhe Zhang
Scientific advisors (clinician experts)
The physicians listed below provided clinical expertise to validate growthcleanr or to inform its design. The two pediatricians who performed the initial validation are listed first, and others are listed alphabetically.
- Alexander G Fiks
- Richard C (Mort) Wasserman
- Andreas Achilleos
- Nabeel Akhtar
- Sarah Akhtar
- Wilbert Beachy
- Colin Bridgeman
- Jessica Butts
- Emily Despeaux
- Christine Irvin
- Madiha Jamil
- Robert Marquis
- Abigail Nelson
- Sheila Nguyen
- Taraneh Soleymani
- Ronald Williams
Funding and organizations
The current release of growthcleanr was funded by the HHS Office of the Secretary Patient-Centered Outcomes Research Trust Fund (OS-PCORTF) and supported by the Centers for Disease Control and Prevention Division of Nutrition, Physical Activity, and Obesity. Original development of growthcleanr was supported in large part by the American Academy of Pediatrics (AAP) Pediatric Research in Office Settings (PROS) network, including with data provided by the AAP PROS Comparative Effectiveness Research through Collaborative Electronic Reporting (CER2) electronic health record data network. The Children’s Hospital of Philadelphia contributed data and programming support. The University of Manitoba and Penn State College of Medicine provided salary support, and Penn State Health Golisano Children’s Hospital contributed data.
Disclaimer
growthcleanr is provided “as is,” without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and noninfringement, as stated in its MIT License. In no event shall the authors, contributors, or copyright holders be liable for any claim, damages, or other liability arising from, out of, or in connection with growthcleanr or its use.
Users are responsible for deciding whether growthcleanr and its settings are appropriate for their data and purposes, and for the analyses, results, and conclusions of any work that uses it.
The content of growthcleanr and its documentation is the responsibility of the authors and does not necessarily represent the official views of, or imply endorsement by, any of the funders and organizations listed above.