Nothing
averisk: Calculation of Average Population Attributable Fractions and Confidence Intervals
Average population attributable fractions are calculated for a set of risk factors (either binary or ordinal valued) for both prospective and case- control designs. Confidence intervals are found by Monte Carlo simulation. The method can be applied to either prospective or case control designs, provided an estimate of disease prevalence is provided. In addition to an exact calculation of AF, an approximate calculation, based on randomly sampling permutations has been implemented to ensure the calculation is computationally tractable when the number of risk factors is large.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | John Ferguson [aut, cre] |
| Maintainer | John Ferguson <john.ferguson@nuigalway.ie> |
| License | CC0 |
| Version | 1.0.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the averisk package in your browser
Any scripts or data that you put into this service are public.
