pool_D2: Combines the Chi Square statistics across Multiply Imputed...
In mwheymans/psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets
pool_D2 R Documentation
Combines the Chi Square statistics across Multiply Imputed datasets
Description
pool_D2 The D2 statistic to combine the Chi square values
across Multiply Imputed datasets.
Usage
pool_D2(dw, v)
Arguments
dw
a vector of Chi square values obtained after multiple imputation.
v
single value for the degrees of freedom of the Chi square statistic.
Value
The pooled chi square values as the D2 statistic, the p-value,
the numerator, df1 and denominator, df2 degrees of freedom for the
F-test.
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.
Van Buuren S. (2018). Flexible Imputation of Missing Data. 2nd Edition. Chapman & Hall/CRC
Interdisciplinary Statistics. Boca Raton.
Examples
pool_D2(c(2.25, 3.95, 6.24, 5.27, 2.81), 4)
mwheymans/psfmi documentation built on June 30, 2023, 5:25 a.m.
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| pool_D2 | R Documentation |
Combines the Chi Square statistics across Multiply Imputed datasets
Description
pool_D2 The D2 statistic to combine the Chi square values
across Multiply Imputed datasets.
Usage
pool_D2(dw, v)
Arguments
dw |
a vector of Chi square values obtained after multiple imputation. |
v |
single value for the degrees of freedom of the Chi square statistic. |
Value
The pooled chi square values as the D2 statistic, the p-value, the numerator, df1 and denominator, df2 degrees of freedom for the F-test.
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.
Van Buuren S. (2018). Flexible Imputation of Missing Data. 2nd Edition. Chapman & Hall/CRC Interdisciplinary Statistics. Boca Raton.
Examples
pool_D2(c(2.25, 3.95, 6.24, 5.27, 2.81), 4)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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