A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts

Barbara Heude, Pauline Scherdel, Andreas Werner, Morgane Le Guern, Nathalie Gelbert, Déborah Walther, Michel Arnould, Marc Bellaïche, Bertrand Chevallier, Jacques Cheymol, Emmanuel Jobez, Sylvie N'Guyen, Christine Pietrement, Rachel Reynaud, Jean-François Salaün, Babak Khoshnood, Jennifer Zeitlin, Jean Maccario, Gérard Breart, Jean-Christophe Thalabard, Marie-Aline Charles, Jérémie Botton, Bruno Frandji, Martin Chalumeau

Open source

DOI: 10.1016/s2589-7500(19)30149-9
Published: 2019-12
Container: The Lancet Digital Health
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/s2589-7500-19-30149-9,
  title = {A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts},
  author = {Barbara Heude and Pauline Scherdel and Andreas Werner and Morgane Le Guern and Nathalie Gelbert and Déborah Walther and Michel Arnould and Marc Bellaïche and Bertrand Chevallier and Jacques Cheymol and Emmanuel Jobez and Sylvie N'Guyen and Christine Pietrement and Rachel Reynaud and Jean-François Salaün and Babak Khoshnood and Jennifer Zeitlin and Jean Maccario and Gérard Breart and Jean-Christophe Thalabard and Marie-Aline Charles and Jérémie Botton and Bruno Frandji and Martin Chalumeau},
  year = {2019},
  journal = {The Lancet Digital Health},
  doi = {10.1016/s2589-7500(19)30149-9},
  url = {https://doi.org/10.1016/s2589-7500(19)30149-9}
}

RIS

TY  - JOUR
TI  - A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts
AU  - Barbara Heude
AU  - Pauline Scherdel
AU  - Andreas Werner
AU  - Morgane Le Guern
AU  - Nathalie Gelbert
AU  - Déborah Walther
AU  - Michel Arnould
AU  - Marc Bellaïche
AU  - Bertrand Chevallier
AU  - Jacques Cheymol
AU  - Emmanuel Jobez
AU  - Sylvie N'Guyen
AU  - Christine Pietrement
AU  - Rachel Reynaud
AU  - Jean-François Salaün
AU  - Babak Khoshnood
AU  - Jennifer Zeitlin
AU  - Jean Maccario
AU  - Gérard Breart
AU  - Jean-Christophe Thalabard
AU  - Marie-Aline Charles
AU  - Jérémie Botton
AU  - Bruno Frandji
AU  - Martin Chalumeau
PY  - 2019
JO  - The Lancet Digital Health
DO  - 10.1016/s2589-7500(19)30149-9
UR  - https://doi.org/10.1016/s2589-7500(19)30149-9
ER  -

APA

Heude, B., Scherdel, P., Werner, A., Guern, M. L., Gelbert, N., Walther, D., Arnould, M., Bellaïche, M., Chevallier, B., Cheymol, J., Jobez, E., N'Guyen, S., Pietrement, C., Reynaud, R., Salaün, J., Khoshnood, B., Zeitlin, J., Maccario, J., Breart, G., Thalabard, J., Charles, M., Botton, J., Frandji, B., & Chalumeau, M. (2019). A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts. The Lancet Digital Health. https://doi.org/10.1016/s2589-7500(19)30149-9

Source records

crossref · retrieved 2026-09-27T07:32:56.534Z