MFmp: Mitigated fraction from matched pairs

In MF: Mitigated Fraction

Description

Estimates mitigated fraction from matched pairs.

Usage

  MFmp(formula=NULL, data=NULL, compare = c("con", "vac"),
    x=NULL, alpha=0.05, df=NULL, tdist=T)

Arguments

formula	Formula of the form y ~ x + cluster(w), where y is a continuous response, x is a factor with two levels of treatment, and w is a factor indicating the clusters.
data	Data frame
compare	Text vector stating the factor levels - compare[1] is the control or reference group to which compare[2] is compared
x	Trinomial vector \{Σ I(x<y), Σ I(x=y), Σ I(x>y)\}
alpha	Complement of the confidence level.
df	Degrees of freedom. Default N-2
tdist	Use quantiles of t or Gaussian distribution for confidence interval? Default t distribution.

Details

Estimates MF from matched pairs by the difference of multinomial fractions (Σ I(x<y) - Σ I(x>y)) / N. The trinomial vector is \{Σ I(x<y), Σ I(x=y), Σ I(x>y)\}

Value

a mfmp-class data object

Author(s)

David Siev [e-mail]

References

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

See Also

mfmp-class

Examples

MFmp(les ~ tx + cluster(cage), mlesions, compare = c('con', 'vac'))
MFmp(x = c(12, 12, 2))

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