Comment on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharmaceutical Statistics 17 (5):593-606, Sep/Oct 2018, DOI: 10.1002/pst.1873
Pharm Stat
.
2019 May;18(3):278-281.
doi: 10.1002/pst.1940.
Epub 2019 Apr 1.
Authors
Andreas Krause
1
,
Charlotte Kloft
2
,
Wilhelm Huisinga
3
,
Mats Karlsson
4
,
José Pinheiro
5
,
Robert Bies
6
7
,
James Rogers
8
,
France Mentré
9
,
Bret J Musser
10
;
ASA Special Interest Group on Statistics and Pharmacometrics/ASA Special Interest Group on Statistics and Pharmacometrics (SIG SxP)
Affiliations
1
Clinical Pharmacology, Idorsia Pharmaceuticals Ltd, Allschwil, Switzerland.
2
Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universität Berlin, Germany.
3
Computational Physiology, Institute of Mathematics, University of Potsdam, Germany.
4
Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
5
Quantitative Sciences, Janssen Pharmaceutical Companies of Johnson and Johnson, Titusville, New Jersey.
6
Department of Pharmaceutical Sciences, School of Pharmacy, State University of New York at Buffalo, New York.
7
Computational and Data Enabled Science and Engineering Program, University at Buffalo, New York.
8
Statistical Modeling and Data Sciences, Metrum Research Group, Tariffvile, Connecticut.
9
IAME, UMR1137, Inserm and Université de Paris Diderot, Paris, France.
10
Biostatistics and Data Management, Regeneron Pharmaceuticals, Inc., Tarrytown, New York.
PMID:
30932340
DOI:
10.1002/pst.1940
No abstract available
Publication types
Letter
Comment
MeSH terms
Curriculum*
Drug Development*