pool_bftest function

Calculates the pooled Brown-Forsythe test.

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

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'.

Returns

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

Examples

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

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

Author(s)

Martijn Heymans, 2021