MFBoot: Bootstrap MF CI

In ABS-dev/MF: Mitigated Fraction

Bootstrap MF CI

Description

Estimates bootstrap confidence intervals for the mitigated fraction.

Usage

MFBoot(
  formula,
  data,
  compare = c("con", "vac"),
  b = 100,
  B = 100,
  alpha = 0.05,
  hpd = TRUE,
  bca = FALSE,
  return.boot = FALSE,
  trace.it = FALSE,
  seed = sample(1:1e+05, 1)
)

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
b	Number of bootstrap samples to take with each cycle
B	Number of cycles, giving the total number of samples = B * b
alpha	Complement of the confidence level
hpd	Estimate highest density intervals?
bca	Estimate BCa intervals?
return.boot	Save the bootstrap sample of the MF statistic?
trace.it	Verbose tracking of the cycles?
seed	to initialize random number generator for reproducibility. Passed to set.seed.

Details

Resamples the data and produces bootstrap confidence intervals. Equal tailed intervals are estimated by the percentile method. Highest density intervals are estimated by selecting the shortest of all possible intervals. For BCa intervals, see Efron and Tibshirani section 14.3.

Value

a mfboot-class 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

Efron B, Tibshirani RJ. An Introduction to the Bootstrap. Chapman and Hall, New York, 1993.

See Also

mfboot-class

Examples

MFBoot(lesion~group, calflung, seed = 12345)

# 10000 bootstrap samples
# 95% confidence interval
# Seed = 12345
#
# Comparing vac to con
# observed median lower  upper
# Equal Tailed        0.44 0.4496 0.152 0.7088
# Highest Density     0.44 0.4496 0.152 0.7088

ABS-dev/MF documentation built on April 26, 2024, 3:28 p.m.