cindex

<code>cindex</code> Calculates the c-index and standard error for
logistic and Cox regression models and the degrees of freedom
to be further used in function <code>with.milist</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

cindex function

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

Arguments

Author

Calculates the c-index and standard error — cindex

<dl>

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


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

</dl>

cindex: Calculates the c-index and standard error

Description

Usage

Value

Arguments

Author

See Also

Examples