.summary_table_4_3

This internal function creates a summary of the data frame for Table 4.3. 
It groups the data by the variables specified in `group_by` and calculates various summary statistics.

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_table_4_3 function

<dl><dt>df</dt>
<dd>A data frame.</dd>
<dt>group_by</dt>
<dd>A character vector of names of variables by which to group the data.</dd></dl>

Arguments

Summary wrapper for Table 4.3 — .summary_table_4_3

<dl>

<dt>df</dt>
<dd>A data frame.</dd>


<dt>group_by</dt>
<dd>A character vector of names of variables by which to group the data.</dd>

</dl>

.summary_table_4_3: Summary wrapper for Table 4.3

Description

Usage

Value

Arguments

Examples