fisher_z_transform

Take a validity coefficient and perform the
Fisher Z Transformation to approximate a normal distribution

A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.

Alexander Lee

rACMEMEEV

Multi-Variate Measurement Error Adjustment

fisher_z_transform function

<dl><dt>coefficient</dt>
<dd>numeric The validity coefficient to transform.</dd></dl>

Arguments

Perform the Fisher Z Transformation — fisher_z_transform

<dl>

<dt>coefficient</dt>
<dd>numeric The validity coefficient to transform.</dd>

</dl>

fisher_z_transform: Perform the Fisher Z Transformation

Description

Usage

Value

Arguments

Examples