pool_prop_nna

<code>pool_prop_nna</code> Calculates the pooled proportion and
confidence intervals using an approximate Beta distribution.

Statistical Analyses and Pooling after Multiple Imputation. A large variety
of repeated statistical analysis can be performed and finally pooled. Statistical analysis
that are available are, among others, Levene's test, Odds and Risk Ratios, One sample
proportions, difference between proportions and linear and logistic regression models.
Functions can also be used in combination with the Pipe operator.
More and more statistical analyses and pooling functions will be added over time.
Heymans (2007) <doi:10.1186/1471-2288-7-33>.
Eekhout (2017) <doi:10.1186/s12874-017-0404-7>.
Wiel (2009) <doi:10.1093/biostatistics/kxp011>.
Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Sidi (2021) <doi:10.1080/00031305.2021.1898468>.
Lott (2018) <doi:10.1080/00031305.2018.1473796>.
Grund (2021) <doi:10.31234/osf.io/d459g>.

Martijn Heymans

miceafter

Data and Statistical Analyses after Multiple Imputation

Jaap Brand

pool_prop_nna function

<dl><dt>object</dt>
<dd>An object of class 'mistats' ('Multiply Imputed
Statistical Analysis').</dd>
<dt>conf.level</dt>
<dd>Confidence level of the confidence intervals.</dd></dl>

Arguments

Author

Calculates the pooled proportion and confidence intervals
using an approximate Beta distribution. — pool_prop_nna

<dl>

<dt>object</dt>
<dd>An object of class 'mistats' ('Multiply Imputed
Statistical Analysis').</dd>


<dt>conf.level</dt>
<dd>Confidence level of the confidence intervals.</dd>

</dl>

pool_prop_nna: Calculates the pooled proportion and confidence intervals using an approximate Beta distribution.

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples