expit

Comprehensive toolkit for addressing selection
bias in binary disease models across diverse non-probability samples, each
with unique selection mechanisms. It utilizes Inverse Probability Weighting
(IPW) and Augmented Inverse Probability Weighting (AIPW) methods to reduce
selection bias effectively in multiple non-probability cohorts by integrating
data from either individual-level or summary-level external sources. The
package also provides a variety of variance estimation techniques. Please
refer to Kundu et al. <doi:10.48550/arXiv.2412.00228>.

Michael Kleinsasser

EHRmuse

Multi-Cohort Selection Bias Correction using IPW and AIPW
Methods

Ritoban Kundu

expit function

<dl><dt>x</dt>
<dd>numeric vector</dd></dl>

Arguments

Expit — expit

<dl>

<dt>x</dt>
<dd>numeric vector</dd>

</dl>

expit: Expit

Description

Usage

Value

Arguments

Examples