Robust statistical methods for establishing clinical reference intervals following CLSI EP28-A3c guidelines. Supports parametric and non-parametric approaches, robust methods for outlier handling, and partitioning analysis for demographic factors. Essential for laboratory standardization and clinical interpretation of test results.
Usage
referenceintervals(
data,
measurement,
age,
gender,
ethnicity,
additional_factors,
ri_method = "robust_nonparametric",
confidence_level = 0.95,
reference_percentiles = "2.5,97.5",
minimum_sample_size = 120,
outlier_detection = "horn",
transformation_test = TRUE,
partitioning_analysis = TRUE,
age_partitioning = "none",
age_breakpoints = "18,65",
harris_boyd_test = TRUE,
verification_study = FALSE,
transferability_assessment = FALSE,
uncertainty_estimation = TRUE,
clinical_interpretation = TRUE,
quality_assessment = TRUE,
literature_comparison = FALSE,
distribution_plots = TRUE,
partitioning_plots = TRUE,
age_trend_plots = TRUE
)Arguments
- data
the data as a data frame
- measurement
Laboratory test measurement values from reference population
- age
Age of reference subjects for age-specific intervals
- gender
Gender for sex-specific reference intervals
- ethnicity
Ethnicity for population-specific intervals
- additional_factors
Additional variables for partitioning analysis
- ri_method
Statistical method for calculating reference intervals
- confidence_level
Confidence level for reference interval limits
- reference_percentiles
Lower and upper percentiles for reference interval
- minimum_sample_size
Minimum required sample size (CLSI recommends ≥120)
- outlier_detection
Method for identifying and handling outliers
- transformation_test
Test normality and suggest appropriate transformations
- partitioning_analysis
Analyze need for demographic partitioning
- age_partitioning
Method for age-related partitioning
- age_breakpoints
Comma-separated age breakpoints for custom grouping
- harris_boyd_test
Apply Harris-Boyd test for need to partition
- verification_study
Perform verification with independent samples
- transferability_assessment
Assess transferability to different populations
- uncertainty_estimation
Estimate uncertainty of reference interval limits
- clinical_interpretation
Provide clinical interpretation guidelines
- quality_assessment
Assess quality of reference interval establishment
- literature_comparison
Compare with published reference intervals
- distribution_plots
Generate distribution and normality plots
- partitioning_plots
Create partitioning visualization plots
- age_trend_plots
Generate age-related trend visualizations