MFmp: Mitigated fraction from matched pairs

In ABS-dev/MF: Mitigated Fraction

Mitigated fraction from matched pairs

Description

Estimates mitigated fraction from matched pairs.

Usage

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

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 \{\Sigma I(x<y), \Sigma I(x=y), \Sigma 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 (\Sigma I(x<y) - \Sigma I(x>y)) / N. The trinomial vector is \{\Sigma I(x<y), \Sigma I(x=y), \Sigma I(x>y)\}

Value

a mfmp-class data object

Note

upper confidence interval is truncated to 1; lower confidence interval is truncated to -1. Point estimate of 1.0 indicates complete separation.

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

See Also

mfmp-class

Examples

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

ABS-dev/MF documentation built on April 21, 2024, 5:55 p.m.