Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports
By S. Evans, P. Waller, S. Davis. Pharmacoepidemiology and Drug Safety, 2001
1,699 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability, Toxicology
View Paper: https://www.semanticscholar.org/paper/0ee8b2999019216bc860ea5f6a51a56cedca17ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Andrew Bate
- S. Lanes
- S. Sacks
- Kenneth J. Rothman
- S. Evans
- George Hripcsak
- Peter C. Austin
- Douglas G. Altman
In Statistics and Probability
- Andrew Bate
- Carol Friedman
- Kenneth J. Rothman
- S. Lanes
- S. Sacks
- George Hripcsak
- S. Evans
- Peter C. Austin
In Toxicology
Citations in the corpus
- Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study. (2009, methodology): “10,11 Increasing access to multiple streams of data, such as data in EHRs, pose many new challenges and possibilities for use in the detection of novel adverse signals.”
- The reporting odds ratio and its advantages over the proportional reporting ratio (2004, methodology): “Consequently, the proportional reporting ratio (PRR), which resembles a risk ratio or rate ratio in its distribution and interpretation, has been suggested as an effect measure.(1) The PRR is calculated from ‘numerator data’ only.”
- Quantitative signal detection using spontaneous ADR reporting (2009, methodology): “A credibility (or confidence) interval (CI) is used in both Bayesian and frequentist methods (PRR or ROR), or a Chi-squared test, 10 can be used to the same effect.”