prop_nna

<code>prop_nna</code> Calculates the posterior beta components
for a single proportion (assuming noninformative prior).

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

prop_nna function

<dl><dt>x</dt>
<dd>name of variable to calculate proportion.</dd>
<dt>data</dt>
<dd>An object of class 'mistats' ('Multiply Imputed
Statistical Analysis').</dd></dl>

Arguments

Author

Calculates the posterior beta components for a
single proportion — prop_nna

<dl>

<dt>x</dt>
<dd>name of variable to calculate proportion.</dd>


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

</dl>

prop_nna: Calculates the posterior beta components for a single proportion

Description

Usage

Value

Arguments

Author

References

See Also

Examples