data_rob1

#' @format A data frame:<dl class="dl-horizontal">
 <dt>Study</dt><dd>Study details</dd>
 <dt>D1</dt><dd>Domain 1</dd>
 <dt>D2</dt><dd>Domain 2</dd>
 <dt>D3</dt><dd>Domain 3</dd>
 <dt>D4</dt><dd>Domain 4</dd>
 <dt>D5</dt><dd>Domain 5</dd>
 <dt>D6</dt><dd>Domain 6</dd>
 <dt>D7</dt><dd>Domain 7</dd>
 <dt>Overall</dt><dd>Overall risk of bias</dd>
 <dt>Weight</dt><dd>Weight measure for each study</dd>
 </dl>

datasets

Helps users in quickly visualizing risk-of-bias
assessments performed as part of a systematic review. It allows users to
create weighted bar-plots of the distribution of risk-of-bias judgments
within each bias domain, in addition to traffic-light plots of the
specific domain-level judgments for each study. The resulting figures are
of publication quality and are formatted according the risk-of-bias
assessment tool use to perform the assessments. Currently, the supported
tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019)
<doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of
interventions; Sterne et al (2016) <doi:10.1136/bmj.i4919>), and QUADAS-2
(for diagnostic accuracy studies; Whiting et al (2011)
<doi:10.7326/0003-4819-155-8-201110180-00009>).

Luke McGuinness

robvis

Visualize the Results of Risk-of-Bias (ROB) Assessments

Emily Kothe

data_rob1 function

An object of class <code>data.frame</code> with 9 rows and 10 columns.

Format

#' @format A data frame:<dl class='dl-horizontal'>
 <dt>Study</dt><dd>Study details</dd>
 <dt>D1</dt><dd>Domain 1</dd>
 <dt>D2</dt><dd>Domain 2</dd>
 <dt>D3</dt><dd>Domain 3</dd>
 <dt>D4</dt><dd>Domain 4</dd>
 <dt>D5</dt><dd>Domain 5</dd>
 <dt>D6</dt><dd>Domain 6</dd>
 <dt>D7</dt><dd>Domain 7</dd>
 <dt>Overall</dt><dd>Overall risk of bias</dd>
 <dt>Weight</dt><dd>Weight measure for each study</dd>
 </dl>

data_rob1: Example ROB1 assessment

Description

Usage

Arguments

Format