A large-scale theoretical, historical, and statistical analysis of pharmaceutical regulation by the U.S. Food and Drug Administration. The project was funded by the National Science Foundation and Robert Wood Johnson Foundation between 1998 and 2006. Professor Daniel Carpenter authored this work, which includes reviews and reactions from major publications like The New Yorker and The New York Times.
Use Cases
- Analyzing the relationship between organizational reputation and regulatory power based on the theoretical framework described.
- Studying historical patterns of FDA drug review processes based on the statistical analysis mentioned.
- Modeling bureaucratic delay in pharmaceutical approval based on the project's formal and empirical analyses.
Strengths
- Analysis is based on a multi-year project funded by major foundations like the National Science Foundation.
- Work has been reviewed and discussed in prominent publications such as The New Yorker and The New York Times.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for quantitative tasks.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Daniel Carpenter, Harvard University Press
- Collection Method
- Theoretical, historical, and statistical analysis
- Time Range
- Project funding spans 1998-2006
- Freshness
- null
- Geography
- United States