A Bayesian Approach to Reference Intervals
Data source
Manual input
Upload sample (CSV)
Local healthy sample (comma/space separated)
1.05,0.93,0.93,0.81,0.72,0.76 1.25,0.93,0.63,0.72,0.78,0.79 0.80,0.92,0.75,1.10,0.87,0.87 1.01,1.10,0.88,0.89,0.75,0.73 1.22,0.75,0.79,0.80,0.69,0.91
Upload sample (CSV)
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Analyte name
Measurement unit
External RI coverage (%)
Decimals
External RI (prior) specified by
Reference interval
Reference interval + central tendency
Box–Cox moments
LRL (external RI lower)
URL (external RI upper)
Reference interval shape
Symmetric (λ=1)
Right-skewed (λ=0)
Left-skewed (λ=1.5)
No shape info (uniform λ)
LRL (external RI lower)
URL (external RI upper)
Central tendency
Mean
Median
Central tendency value
μ
σ
λ
MCMC (advanced)
Chains
Warmup
Post-warmup draws
Seed
Max tree depth
Target acceptance (adapt_delta)
Run
Summary
Plots (predicted RI)
Plots (predicted model)
Plots (transferability external RI)
Plots (transferability posterior RI)
Plots (MCMC diagnostics)
How to interpret the results table
How to interpret predicted RI plots
How to interpret predicted model plots
How to interpret transferability external RI plots
How to interpret posterior RI transferability plots
How to interpret the MCMC diagnostics plots
A Bayesian Approach to Reference Intervals
A Bayesian Approach to Reference Intervals