confint.margstd_delta

Confidence intervals for models fit using marginal standardization
based on the melta method.

Risk ratios and risk differences are estimated using regression
models that allow for binary, categorical, and continuous exposures and
confounders. Implemented are marginal standardization after fitting logistic
models (g-computation) with delta-method and bootstrap standard errors,
Miettinen's case-duplication approach (Schouten et al. 1993,
<doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical
variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting
values from Poisson models (Spiegelman and Hertzmark 2005,
<doi:10.1093/aje/kwi188>), and others.

Konrad Stopsack

risks

Estimate Risk Ratios and Risk Differences using Regression

Travis Gerke

confint.margstd_delta function

<dl><dt>object</dt>
<dd>Model fitted through marginal standardization, delta method</dd>
<dt>parm</dt>
<dd>Not used, for compatibility</dd>
<dt>level</dt>
<dd>Confidence level, defaults to <code>0.95</code>.</dd>
<dt>...</dt>
<dd>Not used</dd></dl>

Arguments

Delta method confidence intervals — confint.margstd_delta

<dl>

<dt>object</dt>
<dd>Model fitted through marginal standardization, delta method</dd>


<dt>parm</dt>
<dd>Not used, for compatibility</dd>


<dt>level</dt>
<dd>Confidence level, defaults to <code>0.95</code>.</dd>


<dt>...</dt>
<dd>Not used</dd>

</dl>

confint.margstd_delta: Delta method confidence intervals

Description

Usage

Value

Arguments