MFSubj: Subject components of mitigated fraction

In ABS-dev/MF: Mitigated Fraction

Subject components of mitigated fraction

Description

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

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.

Value

a mfcomponents data object

Author(s)

MF-package

References

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

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


mean(x$subj[, "mf_j"])

# [1] 0.44

ABS-dev/MF documentation built on Sept. 19, 2024, 10:30 a.m.