Resumes
Resumes
Reza Firouzbakht Phones & Addresses
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7977 170Th Ave NE APT B326, Redmond, WA 98052
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18874 67Th St, Redmond, WA 98052 (425) 885-5101
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Miami, FL
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1105 Massachusetts Ave, Cambridge, MA 02138 (617) 661-9866
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Belfair, WA
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479 Massachusetts Ave, Roxbury, MA 02118 (617) 859-9661
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479 Massachusetts Ave #2, Boston, MA 02118 (617) 859-9661
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Chicago, IL
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Manson, WA
Business Records
Name / Title
Company / Classification
Phones & Addresses
President
AHSANEAT, INC
Nonclassifiable Establishments
Nonclassifiable Establishments
479 Mass Ave Ste #2, Boston, MA
479 Massachusetts Ave, Boston, MA 02118
479 Massachusetts Ave, Boston, MA 02118
Manager
MOORE STREET LLC
216 Broadway, Cambridge, MA 02139
C/O Broadway Realty, Cambridge, MA 02139
C/O Broadway Realty, Cambridge, MA 02139
Manager
33 SCIARAPPA STREET LLC
Nonclassifiable Establishments
Nonclassifiable Establishments
216 Broadway, Cambridge, MA 02139
C/O Broadway Realty, Cambridge, MA 02139
C/O Broadway Realty, Cambridge, MA 02139
Publications
Us Patents
System For Predictive Analytics Using Real-World Pharmaceutical Transactions
View pageUS Patent:
20090276287, Nov 5, 2009
Filed:
Jul 14, 2008
Appl. No.:
12/172386
Inventors:
Reza Firouzbakht - Redmond WA, US
Elizabeth O. Coulton - Charleston SC, US
Henry Lai - Milpitas CA, US
Tigran Markaryan - Reston VA, US
Elizabeth O. Coulton - Charleston SC, US
Henry Lai - Milpitas CA, US
Tigran Markaryan - Reston VA, US
International Classification:
G06Q 10/00
G06Q 40/00
G06Q 50/00
G06Q 40/00
G06Q 50/00
US Classification:
705 10, 705 36 R
Abstract:
A system for predictive analytics using real-world pharmaceutical transactions includes a computer having a processor and memory, a data collection component configured to aggregate data for a plurality of pharmaceutical transactions, and a data reduction module configured to eliminate non-compliant transactions to generate a reduced transaction data set. An analysis module applies multiple linear regression analysis to a portion of the reduced transaction data set to identify key regression variables that correlate with an excess total return to shareholders. The analysis module also applies logistic regression analysis to a portion of the reduced transaction data set to identify key regression variables that correlate with an increased probability of regulatory agency approval. A report generator provides a graphical output of the identified key regression variables and a probability value corresponding to a likelihood of regulatory agency approval.