micombine.chisquare.Rd
This function does inference for the \(\chi^2\) statistic based on multiply imputed datasets (see e.g. Enders, 2010, p. 239 ff.; Allison, 2002). This function is also denoted as the \(D_2\) statistic.
micombine.chisquare(dk, df, display=TRUE, version=1)
dk | Vector of chi square statistics |
---|---|
df | Degrees of freedom of \(\chi^2\) statistic |
display | An optional logical indicating whether results should be printed at the R console. |
version | Integer indicating which calculation formula should be used.
The default |
A vector with following entries
Combined \(D_2\) statistic which is approximately \(F\)-distributed
with (df
, df2
) degrees of freedom
The p value corresponding to D
Numerator degrees of freedom
Denominator degrees of freedom
Allison, P. D. (2002). Missing data. Newbury Park, CA: Sage.
Enders, C. K. (2010). Applied missing data analysis. Guilford Press.
See also mice::pool.compare
for a Wald test to compare two fitted models in the mice package.
############################################################################# # EXAMPLE 1: Chi square values of analyses from 7 multiply imputed datasets ############################################################################# # Vector of 7 chi square statistics dk <- c(24.957, 18.051, 18.812, 17.362, 21.234, 18.615, 19.84) dk.comb <- miceadds::micombine.chisquare(dk=dk, df=4 ) ## Combination of Chi Square Statistics for Multiply Imputed Data ## Using 7 Imputed Data Sets ## F(4, 482.06)=4.438 p=0.00157