pool_bftest {miceafter}

Calculates the pooled Brown-Forsythe test.

Description

pool_levenetest Calculates the pooled F-statistic of the Brown-Forsythe test.

Usage

pool_bftest(object, method = "D1")

Arguments

object

An object of class 'mistats' ('Multiply Imputed Statistical Analysis').

method

A character vector to choose the pooling method, 'D1' (default) or 'D2'.

Value

The (combined) F-statistic, p-value and degrees of freedom.

Author(s)

Martijn Heymans, 2021

References

Eekhout I, van de Wiel MA, Heymans MW. Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis. BMC Med Res Methodol. 2017;17(1):129.

Enders CK (2010). Applied missing data analysis. New York: The Guilford Press.

Van Buuren S. (2018). Flexible Imputation of Missing Data. 2nd Edition. Chapman & Hall/CRC Interdisciplinary Statistics. Boca Raton.

See Also

with.milist, bf_test

Examples

imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=bf_test(Pain ~ factor(Carrying)))
res <- pool_bftest(ra)
res