mids2milist

<code>mids2milist</code> Turns a 'mice::mids' object into an object
with multiply imputed datasets of class 'milist' to be further
used by 'miceafter::with'

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

mids2milist function

<dl><dt>data</dt>
<dd>a 'mice::mids' object</dd>
<dt>keep</dt>
<dd>if TRUE the grouping column is kept, if FALSE
(default) the grouping column is not kept.</dd></dl>

Arguments

Author

Turns a 'mice::mids' object into an object of class 'milist'
to be further used by 'miceafter::with' — mids2milist

<dl>

<dt>data</dt>
<dd>a 'mice::mids' object</dd>


<dt>keep</dt>
<dd>if TRUE the grouping column is kept, if FALSE
(default) the grouping column is not kept.</dd>

</dl>

mids2milist: Turns a 'mice::mids' object into an object of class 'milist' to be further used by 'miceafter::with'

Description

Usage

Value

Arguments

Author