eq5dsuite1.0.0 package

Manipulating and Analysing EQ-5d Data

table_3_2

Table 3.2 EQ-5D values: by groupvar

figure_1_2_4

Figure 1.2.4: Percentage of respondents who had a mixed change by the ...

figure_1_3_1

Figure 1.3.1: EQ-5D values plotted against LSS

figure_1_3_2

Figure 1.3.2: EQ-5D values plotted against LFS

figure_2_1

Figure 2.1: EQ VAS scores

figure_2_2

Figure 2.2: Mid-point EQ VAS scores

figure_3_1

Figure 3.1: EQ-5D values by timepoints: mean values and 95% confidence...

figure_3_2

Figure 3.2: Mean EQ-5D values and 95% confidence intervals: all vs by ...

table_1_2_1

Table 1.2.1: Frequency of levels by dimensions, by follow-up

table_1_2_2

Table 1.2.2: Changes in health according to the PCHC (Paretian Classif...

table_1_2_3

Table 1.2.3: Changes in health according to the PCHC, taking account o...

table_1_2_4

Table 1.2.4: Changes in levels in each dimension, percentages of total...

table_1_3_1

Table 1.3.1: Summary statistics for the EQ-5D values by all the differ...

table_1_3_2

Table 1.3.2: Distribution of the EQ-5D states by LFS (Level Frequency ...

table_1_3_3

Table 1.3.3: Number of observations in the LFS (Level Frequency Score)...

table_1_3_4

Table 1.3.4: Summary statistics of EQ-5D values by LFS (Level Frequenc...

table_2_1

Table 2.1: EQ VAS Score by timepoints

table_2_2

Table 2.2: EQ VAS Scores frequency of mid-points

table_3_1

Table 3.1: EQ-5D values: by timepoints

dot-get_names

Replace NULL names with default values

dot-getmode

Get the mode of a vector.

dot-modify_ggplot_theme

Modify ggplot2 theme

eq5d3l

eq5d3l

eq5d5l

eq5d5l

eq5dy3l

eq5dy3l

figure_1_2_3

Figure 1.2.3: Percentage of respondents who worsened overall by the di...

dot-gen_colours

Generate colours for PCHC figures

dot-get_lfs

Calculate the Level Frequency Score (LFS)

dot-pstate3t5

.pstate3t5

dot-pstate5t3

.pstate5t3

dot-add_utility

Add utility values to a data frame

dot-check_uniqueness

Check the uniqueness of groups This function takes a data frame df a...

dot-EQxwrprob

.EQxwrprob

dot-freqtab

Helper function for frequency of levels by dimensions tables

table_1_1_3

Table 1.1.3: Prevalence of the 10 most frequently observed self-report...

dot-pchc

Wrapper to determine Paretian Classification of Health Change

dot-pchc_plot_by_dim

Wrapper to generate Paretian Classification of Health Change plot by d...

dot-pchctab

.pchctab: Changes in health according to the PCHC (Paretian Classifica...

dot-prep_eq5d

Data checking/preparation: EQ-5D variables

dot-prep_fu

Data checking/preparation: follow-up variable

dot-prep_vas

Data checking/preparation: VAS variable

dot-summary_cts_by_fu

Wrapper to summarise a continuous variable by follow-up (FU)

dot-summary_mean_ci

Wrapper to calculate summary mean with 95% confidence interval

dot-summary_table_2_1

Wrapper for the repetitive code in function_table_2_1. Data frame summ...

dot-summary_table_4_3

Summary wrapper for Table 4.3

dot-summary_table_4_4

Summary wrapper for Table 4.4

eq5d

eq5d

eqvs_add

eqvs_add

eqvs_display

eqvs_display

eqvs_drop

eqvs_drop

eqvs_load

eqvs_load

eqxw

eqxw

eqxwr

eqxwr

figure_1_2_1

Figure 1.2.1: Paretian Classification of Health Change

figure_1_2_2

Figure 1.2.2: Percentage of respondents who improved overall by the di...

figure_3_3

Figure 3.3: EQ-5D values: smoothed lines and confidence intervals by g...

figure_3_4

Figure 3.4: EQ-5D values: smoothed lines and confidence intervals by g...

figure_3_5

Figure 3.5: EQ-5D values: smoothed lines and confidence intervals by g...

make_all_EQ_indexes

make_all_EQ_indexes

make_all_EQ_states

make_all_EQ_states

make_dummies

EQ_dummies

table_1_1_1

Table 1.1.1: Frequency of levels by dimensions, cross-sectional

table_1_1_2

Table 1.1.2: Frequency of levels by dimensions, separated by category

table_3_3

Table 3.3 EQ-5D values: by age and groupvar

toEQ5Ddims

toEQ5Ddims

toEQ5Dindex

toEQ5DIndex

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>.

  • Maintainer: Kim Rand
  • License: GPL (>= 2)
  • Last published: 2024-05-21