Good Data Science Practice: Moving Toward a Code of Practice for Drug Development

Mark Baillie 1
Conor Moloney 2
Carsten Philipp Mueller 3
Jonas Dorn 4
Janice Branson 1
David Ohlssen 5
1
 
Clinical Development & Analytics, Novartis Pharma AG, Basel, Switzerland
2
 
Clinical Development & Analytics, Novartis Pharma AG, Dublin, Ireland
3
 
Data & Digital, Beyond Conception GmbH, Altendorf, Switzerland
4
 
Roche Pharma Research and Early Development, pRED Informatics, Roche Innovation Center, Basel, Switzerland
5
 
Clinical Development & Analytics, Novartis Pharma AG, East Hannover, NJ
Publication typeJournal Article
Publication date2022-05-16
scimago Q1
wos Q2
SJR0.749
CiteScore2.8
Impact factor1.3
ISSN19466315
Pharmaceutical Science
Statistics and Probability
Found 
Found 

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Statistics in Biopharmaceutical Research
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GOST |
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GOST Copy
Baillie M. et al. Good Data Science Practice: Moving Toward a Code of Practice for Drug Development // Statistics in Biopharmaceutical Research. 2022. pp. 1-12.
GOST all authors (up to 50) Copy
Baillie M., Moloney C., Mueller C. P., Dorn J., Branson J., Ohlssen D. Good Data Science Practice: Moving Toward a Code of Practice for Drug Development // Statistics in Biopharmaceutical Research. 2022. pp. 1-12.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/19466315.2022.2063172
UR - https://doi.org/10.1080/19466315.2022.2063172
TI - Good Data Science Practice: Moving Toward a Code of Practice for Drug Development
T2 - Statistics in Biopharmaceutical Research
AU - Baillie, Mark
AU - Moloney, Conor
AU - Mueller, Carsten Philipp
AU - Dorn, Jonas
AU - Branson, Janice
AU - Ohlssen, David
PY - 2022
DA - 2022/05/16
PB - Taylor & Francis
SP - 1-12
SN - 1946-6315
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Baillie,
author = {Mark Baillie and Conor Moloney and Carsten Philipp Mueller and Jonas Dorn and Janice Branson and David Ohlssen},
title = {Good Data Science Practice: Moving Toward a Code of Practice for Drug Development},
journal = {Statistics in Biopharmaceutical Research},
year = {2022},
publisher = {Taylor & Francis},
month = {may},
url = {https://doi.org/10.1080/19466315.2022.2063172},
pages = {1--12},
doi = {10.1080/19466315.2022.2063172}
}