For everyone:
For registered users:
High dimensional pharmacoepidemiology takes an empirical,
data-driven approach to solving the difficult problems of
pharmacoepidemiology, drug safety, and comparative effectiveness
research. By making use of all the information contained in insurance
claims, registries, and even electronic medical records we seek to
improve the validity of non-randomized research. The self-contained
algorithms that we provide can be incorporated into SAS, R, or any other
monitored or automated system. Read more...
To start using the high
dimensional pharmacoepidemiology algorithms, first register
for an account, and then download
the Pharmacoepidemiology Toolbox Software. From there, go to the My Studies section of the site and
create a new study. Creating a study lets you define study-wide
variables, which you can then use to create high dimensional analyses. You can keep
the analyses private, or upload aggregate results (similar to a detailed Table 1) to
share with other users.
This web page is funded by the National
Library of Medicine (R01-LM010213), the National Center for Research
Resources (RC1-RR-028231) and the National Heart Lung and Blood Institute
(RC4 HL106376). The funding institutions are not responsible for
its contents.
The site is developed and maintained by researchers at the Division of Pharmacoepidemiology and Pharmacoeconomics at the Brigham and Women's Hospital, Harvard Medical School. The site is non-profit, and the resources here are free to use for academia, government, industry, and others.
The site is developed and maintained by researchers at the Division of Pharmacoepidemiology and Pharmacoeconomics at the Brigham and Women's Hospital, Harvard Medical School. The site is non-profit, and the resources here are free to use for academia, government, industry, and others.