LRcont

Compute Power for Logistic Regression with Continuous Predictors

Statistical power analysis for designs including t-tests, correlations,
multiple regression, ANOVA, mediation, and logistic regression. Functions accompany
Aberson (2019) <doi:10.4324/9781315171500>.

Chris Aberson

pwr2ppl

Power Analyses for Common Designs (Power to the People)

LRcont function

<dl><dt>OR</dt>
<dd>Odds Ratio for Predictor of Interest</dd>
<dt>r</dt>
<dd>Correlation for Predictor of Interest</dd>
<dt>ER</dt>
<dd>Event Ratio Probability of a Desirable Outcome Overall</dd>
<dt>alpha</dt>
<dd>Type I error (default is .05)</dd>
<dt>power</dt>
<dd>Desired Power</dd>
<dt>R2</dt>
<dd>How Well Predictor of Interest is Explained by Other Predictors (default is 0)</dd></dl>

Arguments

Compute Power for Logistic Regression with Continuous Predictors — LRcont

<dl>

<dt>OR</dt>
<dd>Odds Ratio for Predictor of Interest</dd>


<dt>r</dt>
<dd>Correlation for Predictor of Interest</dd>


<dt>ER</dt>
<dd>Event Ratio Probability of a Desirable Outcome Overall</dd>


<dt>alpha</dt>
<dd>Type I error (default is .05)</dd>


<dt>power</dt>
<dd>Desired Power</dd>


<dt>R2</dt>
<dd>How Well Predictor of Interest is Explained by Other Predictors (default is 0)</dd>

</dl>

LRcont: Compute Power for Logistic Regression with Continuous Predictors

Description

Usage

Value

Arguments

Examples