.summary_mean_ci

This internal function calculates summary mean and 95% confidence interval of the utility variable, which can also be grouped.
The function is used in Figures 4.2-4.4.

The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL),
developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care,
usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale.
Scores from these dimensions are commonly converted into a single utility index using country-specific value sets,
which are critical in clinical and economic evaluations of healthcare and in population health surveys.
The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments,
including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008>
(mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk
by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses
to EQ-5D-5L index values). Users are allowed to add and/or remove user-defined value sets.
Additionally, the package provides tools to analyze EQ-5D data according to the recommended
guidelines outlined in "Methods for Analyzing and Reporting EQ-5D data" by Devlin et al. (2020) <doi:10.1007/978-3-030-47622-9>.

Kim Rand

eq5dsuite

Handling and Analysing EQ-5d Data

Iryna Schlackow

Anabel Estévez-Carrillo

.summary_mean_ci function

<dl><dt>df</dt>
<dd>A data frame containing a `utility` column.</dd>
<dt>group_by</dt>
<dd>A character vector of column names to group by.</dd></dl>

Arguments

Wrapper to calculate summary mean with 95% confidence interval — .summary_mean_ci

<dl>

<dt>df</dt>
<dd>A data frame containing a `utility` column.</dd>


<dt>group_by</dt>
<dd>A character vector of column names to group by.</dd>

</dl>

.summary_mean_ci: Wrapper to calculate summary mean with 95% confidence interval

Description

Usage

Value

Arguments

Examples