scoreci

"This function computes a confidence interval for a proportion.
It is based on inverting the large-sample normal score test for the
proportion." (Alan Agresti, who wrote the original R code)
Inputs for <code>success</code>, <code>total</code>, and <code>level</code>
are vectorized.

Presentation-ready results tables for epidemiologists in an
automated, reproducible fashion. The user provides the final analytical
dataset and specifies the design of the table, with rows and/or columns
defined by exposure(s), effect modifier(s), and estimands as desired,
allowing to show descriptors and inferential estimates in one table --
bridging the rift between epidemiologists and their data, one table at a
time. See Rothman (2017) <doi:10.1007/s10654-017-0314-3>.

Konrad Stopsack

rifttable

Results Tables to Bridge the Rift Between Epidemiologists and
Their Data

Konrad H. Stopsack

scoreci function

<dl><dt>success</dt>
<dd>Success count.</dd>
<dt>total</dt>
<dd>Total count.</dd>
<dt>level</dt>
<dd>Optional. Confidence level. Defaults to 0.95.</dd>
<dt>return_midpoint</dt>
<dd>Optional. Return midpoint of confidence
interval? Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Wilson Score Confidence Intervals — scoreci

<dl>

<dt>success</dt>
<dd>Success count.</dd>


<dt>total</dt>
<dd>Total count.</dd>


<dt>level</dt>
<dd>Optional. Confidence level. Defaults to 0.95.</dd>


<dt>return_midpoint</dt>
<dd>Optional. Return midpoint of confidence
interval? Defaults to <code>FALSE</code>.</dd>

</dl>

scoreci: Wilson Score Confidence Intervals

Description

Usage

Value

Arguments

See Also

Examples