Usage
qualityoflife(
  data,
  physical_function_items,
  role_physical_items,
  bodily_pain_items,
  general_health_items,
  vitality_items,
  social_function_items,
  role_emotional_items,
  mental_health_items,
  symptom_items,
  functional_items,
  global_qol_items,
  patient_id,
  time_var,
  group_var,
  clinical_vars,
  instrument_type = "sf36",
  scoring_algorithm = "standard",
  reference_population = "general_us",
  missing_domain_threshold = 0.5,
  imputation_method = "person_mean",
  quality_control = TRUE,
  response_pattern_analysis = TRUE,
  clinical_interpretation = TRUE,
  minimally_important_difference = TRUE,
  mid_values = "",
  ceiling_floor_analysis = TRUE,
  health_utilities = FALSE,
  utility_algorithm = "sf6d",
  longitudinal_analysis = FALSE,
  change_analysis = "simple_change",
  baseline_adjustment = TRUE,
  time_to_deterioration = FALSE,
  group_comparisons = FALSE,
  comparison_domains = "all_domains",
  statistical_test = "t_test",
  multiple_testing_correction = "fdr",
  domain_correlations = TRUE,
  clinical_correlations = FALSE,
  predictive_modeling = FALSE,
  factor_analysis = FALSE,
  clustering_analysis = FALSE,
  health_economics = FALSE,
  qaly_calculation = FALSE,
  cost_effectiveness = FALSE,
  cost_variables,
  comprehensive_report = TRUE,
  domain_profiles = FALSE,
  population_norms_comparison = TRUE,
  clinical_cutoffs = TRUE,
  save_domain_scores = FALSE,
  save_utility_scores = FALSE,
  regulatory_documentation = TRUE
)Arguments
- data
- the data as a data frame 
- physical_function_items
- Items measuring physical functioning domain 
- role_physical_items
- Items measuring role limitations due to physical problems 
- bodily_pain_items
- Items measuring bodily pain domain 
- general_health_items
- Items measuring general health perceptions 
- vitality_items
- Items measuring vitality and energy levels 
- Items measuring social functioning domain 
- role_emotional_items
- Items measuring role limitations due to emotional problems 
- mental_health_items
- Items measuring mental health domain 
- symptom_items
- Items measuring disease-specific symptoms 
- functional_items
- Additional functional assessment items 
- global_qol_items
- Global quality of life assessment items 
- patient_id
- Patient identifier for longitudinal analysis 
- time_var
- Time point variable (visit, week, month) 
- group_var
- Grouping variable for comparisons (treatment, disease stage) 
- clinical_vars
- Clinical variables for correlation and validation 
- instrument_type
- Type of QoL instrument being analyzed 
- scoring_algorithm
- Scoring algorithm for QoL domains 
- reference_population
- Reference population for norm-based scoring 
- missing_domain_threshold
- Maximum missing proportion for domain scoring (50\ - imputation_methodMethod for handling missing QoL data - quality_controlPerform QoL data quality control checks - response_pattern_analysisAnalyze response patterns and validity - clinical_interpretationProvide clinical interpretation of QoL scores - minimally_important_differenceApply minimally important difference thresholds - mid_valuesCustom MID values for domains (comma-separated, e.g., "5,10,3") - ceiling_floor_analysisAnalyze ceiling and floor effects by domain - health_utilitiesCalculate health utility values for health economics - utility_algorithmAlgorithm for health utility calculation - longitudinal_analysisPerform longitudinal QoL analysis - change_analysisMethod for analyzing QoL changes over time - baseline_adjustmentAdjust for baseline QoL differences in change analysis - time_to_deteriorationAnalyze time to meaningful QoL deterioration - group_comparisonsCompare QoL between groups - comparison_domainsQoL domains to include in group comparisons - statistical_testStatistical test for group comparisons - multiple_testing_correctionMultiple testing correction method - domain_correlationsAnalyze correlations between QoL domains - clinical_correlationsCorrelate QoL domains with clinical variables - predictive_modelingBuild predictive models for QoL outcomes - factor_analysisPerform factor analysis of QoL domains - clustering_analysisCluster patients based on QoL profiles - health_economicsCalculate health economic outcomes - qaly_calculationCalculate Quality-Adjusted Life Years - cost_effectivenessPerform cost-effectiveness analysis (requires cost data) - cost_variablesCost variables for health economic analysis - comprehensive_reportGenerate comprehensive QoL analysis report - domain_profilesGenerate individual patient QoL domain profiles - population_norms_comparisonCompare scores to population normative data - clinical_cutoffsApply clinical cutoffs and severity classifications - save_domain_scoresSave calculated domain scores to dataset - save_utility_scoresSave calculated utility scores to dataset - regulatory_documentationInclude regulatory compliance documentation 
A results object containing:
| results$qol_overview | a table | ||||
| results$domain_configuration | a table | ||||
| results$domain_scores | a table | ||||
| results$summary_scores | a table | ||||
| results$ceiling_floor_effects | a table | ||||
| results$population_norms | a table | ||||
| results$group_comparison_domains | a table | ||||
| results$group_descriptives | a table | ||||
| results$longitudinal_summary | a table | ||||
| results$change_analysis_results | a table | ||||
| results$health_utilities_summary | a table | ||||
| results$qaly_results | a table | ||||
| results$domain_correlations | a table | ||||
| results$clinical_correlations | a table | ||||
| results$quality_control_results | a table | ||||
| results$response_patterns | a table | ||||
| results$mid_analysis | a table | ||||
| results$clinical_interpretation_summary | a table | ||||
| results$severity_classification | a table | ||||
| results$health_economics_summary | a table | ||||
| results$cost_effectiveness_results | a table | ||||
| results$regulatory_summary | a table | ||||
| results$domain_scores_plot | an image | ||||
| results$summary_scores_plot | an image | ||||
| results$population_comparison_plot | an image | ||||
| results$group_comparison_plot | an image | ||||
| results$longitudinal_trajectory_plot | an image | ||||
| results$change_waterfall_plot | an image | ||||
| results$domain_correlation_heatmap | an image | ||||
| results$utilities_distribution_plot | an image | ||||
| results$ceiling_floor_plot | an image | ||||
| results$radar_plot | an image | ||||
| results$missing_data_pattern_plot | an image | 
asDF or as.data.frame. For example:results$qol_overview$asDFas.data.frame(results$qol_overview)
Specialized Quality of Life (QoL) analysis for clinical research and
patient care.
Comprehensive assessment of health-related quality of life using
standardized instruments
(SF-36, EORTC QLQ-C30, FACT, EQ-5D) with domain-specific scoring, clinical
interpretation,
and longitudinal change analysis. Includes utilities calculation,
preference-based measures,
and health economic outcomes. Essential for clinical trials,
patient-centered care, and
health technology assessment.
data('qol_data')qualityoflife(
    data = qol_data,
    qol_domains = list(
        physical = c("pf1", "pf2", "pf3"),
        mental = c("mh1", "mh2", "mh3")
    ),
    patient_id = "patient_id",
    instrument_type = "sf36"
)