Gupta, Neeraj http://orcid.org/0000-0002-5500-5218
Wang, Xiaohui
Offman, Elliot
Prohn, Marita
Narasimhan, Narayana
Kerstein, David
Hanley, Michael J.
Venkatakrishnan, Karthik http://orcid.org/0000-0003-4039-9813
Funding for this research was provided by:
ARIAD Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited
Article History
First Online: 20 August 2020
Declarations
:
: This study was funded by ARIAD Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited.
: Neeraj Gupta and Michael J. Hanley are employees of Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited. Xiaohui Wang and Elliot Offman are employees of Certara, a consulting firm under contract with Takeda. Marita Prohn is an employee of qPharmetra. Narayana Narasimhan is a former employee and stock owner of ARIAD. David Kerstein is a former employee and stock owner of ARIAD. Karthik Venkatakrishnan is a former employee of Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited.
: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
: Informed consent was obtained from all individual participants included in the study. Additional informed consent was obtained from all individual participants for whom identifying information is included in this article.
: The data sets, including the redacted study protocol, redacted statistical analysis plan, and individual participant data supporting the results reported in this article, will be made available within 3 months from the initial request, to researchers who provide a methodologically sound proposal. The data will be provided after de-identification, in compliance with applicable privacy laws, data protection, and requirements for consent and anonymization.