stabwtmulti

This function calculates stabilized weights for IPW analysis using logistic regression model. Both of untruncated and utruncated weights are provided.

Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2025)<Forthcoming>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.

Hisashi Noma

rqlm

Modified Poisson Regression for Binary Outcome and Related
Methods

stabwtmulti function

<dl><dt>formula</dt>
<dd>An object of class "formula" (or one that can be coerced to that class): a symbolic description of the logistic regression model to be fitted.</dd>
<dt>data</dt>
<dd>A data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model.</dd>
<dt>trunc</dt>
<dd>Quantiles to be truncated the weights (default: 0.01, 0.99).</dd>
<dt>digits</dt>
<dd>Number of decimal places in the output (default: 4).</dd></dl>

Arguments

Calculating stabilized weights for IPW analysis: Single time point (for more than 3 groups) — stabwtmulti

<dl>

<dt>formula</dt>
<dd>An object of class "formula" (or one that can be coerced to that class): a symbolic description of the logistic regression model to be fitted.</dd>


<dt>data</dt>
<dd>A data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model.</dd>


<dt>trunc</dt>
<dd>Quantiles to be truncated the weights (default: 0.01, 0.99).</dd>


<dt>digits</dt>
<dd>Number of decimal places in the output (default: 4).</dd>

</dl>

stabwtmulti: Calculating stabilized weights for IPW analysis: Single time point (for more than 3 groups)

Description

Usage

Value

Arguments

References