averisk: averisk: Calculation of Average Population Attributable...
In averisk: Calculation of Average Population Attributable Fractions and Confidence Intervals
Description
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.
averisk functions
getAF
averisk documentation built on May 2, 2019, 2:41 a.m.
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Description
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.
averisk functions
getAF
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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