exdata04

A simulated data for sequentially nested emulated trials.<ul>
<li><code>ID</code>: The id variable for individual participants.</li>
<li><code>trial</code>: The trial id variable.</li>
<li><code>time</code>: The discrete time index within each emulated trial, representing the interval since trial baseline.</li>
<li><code>A</code>: Treatment variable.</li>
<li><code>L1</code>: Baseline confounding variable.</li>
<li><code>Y</code>: Dichotomous outcome variable.</li>
<li><code>w_pp</code>: The weight variable.</li>
</ul>

datasets

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

exdata04 function

A simulated data for sequentially nested emulated trials (n=600).

exdata04: A simulated example dataset for target trial emulation

Description

Usage

Arguments

Format