pool_bftest {miceafter} | R Documentation |
pool_levenetest
Calculates the pooled F-statistic
of the Brown-Forsythe test.
pool_bftest(object, method = "D1")
object |
An object of class 'mistats' ('Multiply Imputed Statistical Analysis'). |
method |
A character vector to choose the pooling method, 'D1' (default) or 'D2'. |
The (combined) F-statistic, p-value and degrees of freedom.
Martijn Heymans, 2021
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.
imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=bf_test(Pain ~ factor(Carrying)))
res <- pool_bftest(ra)
res