prop_wald

<code>prop_wald</code> Calculates a single proportion and
related standard error according to Wald and
provides degrees of freedom to be used
in function <code>with.miceafter</code>.

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_wald function

<dl><dt>x</dt>
<dd>name of variable to calculate proportion.</dd>
<dt>formula</dt>
<dd>A formula object to specify the model as normally used by glm.</dd>
<dt>data</dt>
<dd>An objects of class <code>milist</code>, created by
<code>df2milist</code>, <code>list2milist</code> or <code>mids2milist</code>.</dd></dl>

Arguments

Author

Calculates a single proportion and related standard error
according to Wald — prop_wald

<dl>

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


<dt>formula</dt>
<dd>A formula object to specify the model as normally used by glm.</dd>


<dt>data</dt>
<dd>An objects of class <code>milist</code>, created by
<code>df2milist</code>, <code>list2milist</code> or <code>mids2milist</code>.</dd>

</dl>

prop_wald: Calculates a single proportion and related standard error according to Wald

Description

Usage

Value

Arguments

Author

See Also

Examples