make_dummies

Make a data.frame of all EQ-5D dummies relevant for e.g. regression modeling.

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

Manipulating and Analysing EQ-5d Data

Iryna Schlackow

Anabel Estévez-Carrillo

make_dummies function

<dl><dt>df</dt>
<dd>data.frame containing EQ-5D health states.</dd>
<dt>version</dt>
<dd>Either "3L" or "5L", to signify EQ-5D instrument version</dd>
<dt>dim.names</dt>
<dd>A vector of dimension names to be used as names for output columns.</dd>
<dt>drop_level_1</dt>
<dd>If set to FALSE, dummies for level 1 will be included. Defaults to TRUE.</dd>
<dt>add_intercept</dt>
<dd>If set to TRUE, a column containing 1s will be appended. Defaults to FALSE.</dd>
<dt>incremental</dt>
<dd>If set to TRUE, incremental dummies will be produced (e.g. MO = 3 will give mo2 = 1, mo3 = 1). Defaults to FALSE.</dd>
<dt>prepend</dt>
<dd>Optional string to be prepended to column names.</dd>
<dt>append</dt>
<dd>Optional string to be appended to column names.</dd>
<dt>return_df</dt>
<dd>If set to TRUE, data.frame is returned, otherwise matrix. Defaults to TRUE.</dd></dl>

Arguments

EQ_dummies — make_dummies

<dl>

<dt>df</dt>
<dd>data.frame containing EQ-5D health states.</dd>


<dt>version</dt>
<dd>Either "3L" or "5L", to signify EQ-5D instrument version</dd>


<dt>dim.names</dt>
<dd>A vector of dimension names to be used as names for output columns.</dd>


<dt>drop_level_1</dt>
<dd>If set to FALSE, dummies for level 1 will be included. Defaults to TRUE.</dd>


<dt>add_intercept</dt>
<dd>If set to TRUE, a column containing 1s will be appended. Defaults to FALSE.</dd>


<dt>incremental</dt>
<dd>If set to TRUE, incremental dummies will be produced (e.g. MO = 3 will give mo2 = 1, mo3 = 1). Defaults to FALSE.</dd>


<dt>prepend</dt>
<dd>Optional string to be prepended to column names.</dd>


<dt>append</dt>
<dd>Optional string to be appended to column names.</dd>


<dt>return_df</dt>
<dd>If set to TRUE, data.frame is returned, otherwise matrix. Defaults to TRUE.</dd>

</dl>

make_dummies: EQ_dummies

Description

Usage

Value

Arguments

Examples