Returns a list of expected to observed counts and the specified confidence interval. The argument <code>group</code> can be used to estimate this ratio by the categories of the categorical variable <code>group</code>. If population-based case-control data is used to fit the model, the expected counts are for the population and make use of the sampling weights.

Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.

S A Kovalchik

Binomial Linear Regression

EO function

<dl><dt>object</dt>
<dd>object of class <code>blm</code> or <code>lexpit</code></dd><dt>index</dt>
<dd>factor for computing E/O comparison by subgroups</dd><dt>level</dt>
<dd>numeric, confidence level (between 0 and 1) for the E/O ratios</dd></dl>

Arguments

Stephanie Kovalchik <a href="/link/s.a.kovalchik%40gmail.com?package=blm&version=2022.0.0.1" data-mini-rdoc="blm::s.a.kovalchik@gmail.com">s.a.kovalchik@gmail.com</a>

Author

Returns a list of expected to observed counts and the specified confidence interval. The argument <code>group</code> can be used to estimate this ratio by the categories of the categorical variable <code>group</code>. If population-based case-control data is used to fit the model, the expected counts are for the population and make use of the sampling weights.

Compute the ratio of expected event to observed events for blm and lexpit objects. — EO

<dl>

<dt>object</dt>
<dd>object of class <code>blm</code> or <code>lexpit</code></dd>

<dt>index</dt>
<dd>factor for computing E/O comparison by subgroups</dd>

<dt>level</dt>
<dd>numeric, confidence level (between 0 and 1) for the E/O ratios</dd>

</dl>

Stephanie Kovalchik <a href='mailto:s.a.kovalchik@gmail.com'>s.a.kovalchik@gmail.com</a>

EO: Compute the ratio of expected event to observed events for `blm` and `lexpit` objects.

Description

Usage

Value

Arguments

Author

Examples