Comparing HRQoL Instrument Value Sets
.compute_ratios
.create_severity_ribbon_plot
.cut_variable
.extract_columns
.f_stat_from_df
.factorize_variable
.flatten_group_to_df
.plot_F_statistics
.write_Fstatistics_interpretation
.write_severity_interpretation
severity_ribbon_plot
single_transition_plots
.makeWeights
.makeWeightsGradient
.makeWeightsMixed
.makeWeightsTriangular
.merge_adjacent_intervals
.add_EQ5D_utilities
.calculate_quantiles
.calculate_weighted_statistics
calculate_mean_transition
compute_F_statistics
compute_utility_stats
density_plot_empirical
density_plot_theorical
.gen_samples
.gen_samples_proportional
.get_EQ5D_value_sets
.get_EQ5D_version
.get_Fstatistics_interpretation
.get_severity_interpretation
.get_VS_input_list
The number of countries with multiple Health Related Quality of Life (HRQL) value sets is growing, and this trend is expected to continue. Each instrument and value set characterizes and values health differently. Identical health states can yield different utility values when valued using different value sets. The 'valueSetCompare' package facilitates comparisons of HRQoL value sets, enabling both theoretical and empirical comparisons. For empirical comparisons, it employs a novel simulation-based method by Jiang et al. (2022) <doi:10.1186/s12955-022-02031-8>, allowing users to investigate the responsiveness of HRQoL instruments across the entire health spectrum using cross-sectional data with external health anchors.