list2milist

<code>list2milist</code> Turns a list with multiply imputed datasets
into an object of class 'milist' to be further used by 'with.milist'

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

list2milist function

<dl><dt>data</dt>
<dd>an object of class 'list'.</dd></dl>

Arguments

Author

Turns a list object with multiply imputed datasets into an object
of class 'milist'. — list2milist

<dl>

<dt>data</dt>
<dd>an object of class 'list'.</dd>

</dl>

list2milist: Turns a list object with multiply imputed datasets into an object of class 'milist'.

Description

Usage

Value

Arguments

Author