Development and validation of algorithms for identifying lines of therapy in multiple myeloma using real-world data

Sikander Ailawadhi1 Division of Hematology/Oncology, Department of Medicine, Mayo Clinic, Jacksonville, FL32224, USA

Dorothy Romanus2 Global Evidence & Outcomes, Takeda Development Center Americas, Inc. (TDCA), Lexington, MA02421, USA

Surbhi Shah3 Real-World Evidence, Evidera/PPD (part of Thermo fisher Scientific), Bethesda, MD20814, USA

Kathy Fraeman3 Real-World Evidence, Evidera/PPD (part of Thermo fisher Scientific), Bethesda, MD20814, USA

Delphine Saragoussi4 Real-World Evidence, Evidera/PPD (part of Thermo fisher Scientific), London, W6 8BJ, UK

Rebecca Morris Buus5 Epidemiology and Scientific Affairs, Clinical Development Services Division, Evidera/PPD (part of Thermo Fisher Scientific), Bethesda, MD20814, USA

Binh Nguyen6 Medical Science and Strategy, Oncology, PPD (part of Thermo Fisher Scientific), Bethesda, MD20814, USA

Dasha Cherepanov2 Global Evidence & Outcomes, Takeda Development Center Americas, Inc. (TDCA), Lexington, MA02421, USA

Lois Lamerato7 Henry Ford Health, Detroit, MI 48202, USA

https://orcid.org/0000-0001-9955-6444

Ariel Berger3 Real-World Evidence, Evidera/PPD (part of Thermo fisher Scientific), Bethesda, MD20814, USACorrespondence[email protected]

https://orcid.org/0000-0002-8833-4544

show all

Development and validation of algorithms for identifying lines of therapy in multiple myeloma using real-world data

Supplementary document

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Development and validation of algorithms for identifying lines of therapy in multiple myeloma using real-world data

Supplementary document

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date