miPoolChi: Function to pool chi-square statistics from the result from multiple imputation
Description
The function combines likelihood ratio chi-square statistics from an analysis of multiply imputed data sets using the method proposed by Li, Meng, Raghunathan, and Rubin (1991, p. 74).
Usage
miPoolChi(chis, df)
Arguments
chis
A vector of chi-square statistics
df
Degree of freedom that the chi-square statistics are based on
Value
The resulting value from the pooled chi-square is F-statistic. If the denominator degree of freedom is large, the F value multiplied by the numerator degree of freedom will approximate the chi-square statistics.
Details
The chi-square statistics are pooled by the procedure proposed by Li, Meng, Raghunathan, and Rubin (1991; Equations 2.1, 2.2, 2.16, and 2.17).
References
Li, K. H., Meng, X. L., Raghunathan, T. E., & Rubin, D. B. (1991). Significance levels from repeated p-values with multiply-imputed data. Statistica Sinica, 1, 65-92.
See Also
miPoolfor pooling analysis results (parameters and standard errors) and returns pooled parameter estimates, standard errors, and fit indices.
miPoolVectorfor pooling multiple imputation results that providing in matrix or vector formats