invlogit_ci

<code>invlogit_ci</code> Takes the inverse of logit transformed
parameters and calculates the confidence interval
by using the critical value.

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

invlogit_ci function

<dl><dt>est</dt>
<dd>A parameter estimate on the logit scale.</dd>
<dt>se</dt>
<dd>A standard error value on the logit scale.</dd>
<dt>crit.value</dt>
<dd>Critical value of any distribution.</dd></dl>

Arguments

Author

Takes the inverse of logit transformed parameters and calculates
the confidence intervals — invlogit_ci

<dl>

<dt>est</dt>
<dd>A parameter estimate on the logit scale.</dd>


<dt>se</dt>
<dd>A standard error value on the logit scale.</dd>


<dt>crit.value</dt>
<dd>Critical value of any distribution.</dd>

</dl>

invlogit_ci: Takes the inverse of logit transformed parameters and calculates the confidence intervals

Description

Usage

Value

Arguments

Author

Details

Examples