averisk 1.0.3

Calculation of Average Population Attributable Fractions and Confidence Intervals

This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log


MASS 7.3-47

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.

Test Results

This package was last tested against Renjin 0.8.2359 on May 26, 2017.



View GitHub Mirror

Release History