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Welcome to the Age-dependent-Reference-Intervals_Generator (AdRI_Generator) Wiki!
This Shiny App is a generator for creating age-dependent analyt-data. The generated data can be downloaded and used in the Shiny App AdRI (See the Wiki).
Available are the following distributions: Normal-Distribution (NO), Log-Normal-Distribution (LOGNO), Box-Cox Cole & Green Distribution (BCCG), Box-Cox t-Distribution (BCT) and Box-Cox Power Exponential Distribution (BCPE). The parameters μ (Mean), σ (Variance), ν (Skewness) and τ (Kurtosis) are changing over the patient age with a linear or an exponential function.
The linear function is: y = m*x + b and the exponential y = a*e^(x*b).
The data can be downloaded as a CSV file. Negative values are deleted automatically. The generator save "Generator" as the stations-name and determines that all values are unique and have no gender. To add pathological cases (only by Normal-Distribution) a factor can be added to μ.
Normally distributed data can be generated with given reference intervals (Data for the reference intervals must be from normally distributed analytes!). Use the Percentile_Table_Template.csv as template for this. The formula to calculate µ and σ is: µ = (LL + UL)/2 and σ = (UL - LL)/3.92 (Lower and upper reference limits LL and UL).
- R ≥ 4.1.2
- DT ≥ 0.21
- shiny ≥ 1.7.1
- shinydashboard ≥ 0.7.2
- gamlss ≥ 5.4-1
You are welcome to:
- Submit suggestions and bugs at: https://github.com/SandraKla/AdRI_Generator/issues
- Make a pull request on: https://github.com/SandraKla/AdRI_Generator/pulls
Zierk J, Hirschmann J, Toddenroth D, et al. Next-generation reference intervals for pediatric hematology. Clin Chem Lab Med. 2019;57(10):1595‐1607. 10.1515/cclm-2018-1236
Zierk J, Arzideh F, Rechenauer T, et al. Age- and sex-specific dynamics in 22 hematologic and biochemical analytes from birth to adolescence. Clin Chem. 2015;61(7):964‐973. 10.1373/clinchem.2015.239731
Hoffmann, G., Klawonn, F., Lichtinghagen, R., & Orth, M. (2017). Der zlog-Wert als Basis für die Standardisierung von Laborwerten, Journal of Laboratory Medicine, 41(1), 23-32. https://doi.org/10.1515/labmed-2016-0087