conv.test

This is a 1:1 copy of a function from logbin that is needed but not exported
by logbin and addreg.

internal

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

conv.test function

<dl><dt>theta1</dt>
<dd>theta1</dd>
<dt>theta2</dt>
<dd>theta2</dd>
<dt>epsilon</dt>
<dd>epsilon</dd></dl>

Arguments

Helper function for logbin and addreg packages — conv.test

<dl>

<dt>theta1</dt>
<dd>theta1</dd>


<dt>theta2</dt>
<dd>theta2</dd>


<dt>epsilon</dt>
<dd>epsilon</dd>

</dl>

conv.test: Helper function for logbin and addreg packages

Description

Usage

Value

Arguments