MFBoot: Bootstrap MF CI In MF: Mitigated Fraction

Description

Estimates bootstrap confidence intervals for the mitigated fraction.

Usage

 ```1 2 3``` ``` MFBoot(formula, data, compare = c("con", "vac"), b = 100, B = 100, alpha = 0.05, hpd = TRUE, bca = FALSE, return.boot = FALSE, trace.it = FALSE) ```

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? Default TRUE. `bca` Estimate BCa intervals? Default FALSE. `return.boot` Save the bootstrap sample of the MF statistic? Default FALSE. `trace.it` Verbose tracking of the cycles? Default FALSE.

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)

David Siev [email protected]

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.

`mfboot-class`
 ```1 2 3 4 5 6 7 8 9``` ```MFBoot(lesion~group, calflung) # 10000 bootstrap samples # 95% confidence interval # # Comparing vac to con # observed median lower upper # Equal Tailed 0.44 0.4464 0.1360 0.7056 # Highest Density 0.44 0.4464 0.1456 0.7088 ```