Subject components of mitigated fraction

Estimates the subject components of the mitigated fraction.

Usage

MFSubj(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

Value

a mfcomponents data object

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.

The subject components are the individual contributions of the treated subjects to MF, which is the average of the subject components.

References

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

Author

MF-package

Examples

x <- MFSubj(lesion ~ group, calflung)
x
#> 
#> MF = 0.44 comparing vac to con 
#> 
#> MF Subject Components
#> 
#>   mf_j freq    min_y   max_y
#>   1.00    6 0.000030 0.00970
#>   0.84    1 0.012500 0.01250
#>   0.76    3 0.016650 0.02030
#>   0.68    6 0.023250 0.03190
#>   0.04    1 0.132100 0.13210
#>  -0.04    3 0.144575 0.16325
#>  -0.20    2 0.210000 0.21925
#>  -0.36    1 0.292000 0.29200
#>  -0.52    1 0.356500 0.35650
#>  -0.84    1 0.461500 0.46150
#> 

#  MF = 0.44 comparing vac to con
#
#  MF Subject Components
#
#    mf_j freq    min_y   max_y
#    1.00    6 0.000030 0.00970
#    0.84    1 0.012500 0.01250
#    0.76    3 0.016650 0.02030
#    0.68    6 0.023250 0.03190
#    0.04    1 0.132100 0.13210
#   -0.04    3 0.144575 0.16325
#   -0.20    2 0.210000 0.21925
#   -0.36    1 0.292000 0.29200
#   -0.52    1 0.356500 0.35650
#   -0.84    1 0.461500 0.46150


mean(x$subj[, "mf_j"])
#> [1] 0.44

# [1] 0.44