MFr: Mitigated fraction In MF: Mitigated Fraction

Description

Mitigated fraction comparing treatment to control.

Usage

 `1` ``` MFr(formula, data, compare = c("con", "vac")) ```

Arguments

 `formula` Formula of the form `y ~ x`, where y is a continuous response and x is a factor with two levels `data` Data frame `compare` Text vector stating the factor levels – `compare[1]` is the control or reference group to which `compare[2]` is compared

Details

The mitigated fraction is an estimator that quantifies an intervention's effect on reducing the severity of a condition. Since its units are on the probability scale, it is often a good idea to accompany it with an estimator on the original scale of measurement.

Value

The estimated mitigated fraction.

David Siev

References

Siev D, 2005. An estimator of intervention effect on disease severity. Journal of Modern Applied Statistical Methods. 4:500-508

Examples

 ```1 2``` ```MFr(lesion~group,calflung) # [1] 0.44 ```

Example output

```[1] 0.44
```

MF documentation built on May 2, 2019, 1:46 p.m.