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Link to the publication: A visualization tool for continuous reference intervals based on GAMLSS Automated sex and age partitioning for the estimation of reference intervals using a regression tree model

References

Abbreviations

RI = Reference Intervals

CI = Confidence Intervals

Data

David A Colantonio, Lianna Kyriakopoulou, Man Khun Chan, Caitlin H Daly, Davor Brinc, Allison A Venner, Maria D Pasic, David Armbruster, Khosrow Adeli, Closing the Gaps in Pediatric Laboratory Reference Intervals: A CALIPER Database of 40 Biochemical Markers in a Healthy and Multiethnic Population of Children, Clinical Chemistry, Volume 58, Issue 5, 1 May 2012, Pages 854–868, https://doi.org/10.1373/clinchem.2011.177741

GAMLSS

Rigby R.A. and Stasinopoulos D.M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554, 10.1111/j.1467-9876.2005.00510.x.

Rigby, Robert & Stasinopoulos, Dm & Heller, Gillian & De Bastiani, Fernanda. (2019). Distributions for Modeling Location, Scale, and Shape: Using GAMLSS in R. 10.1201/9780429298547.

Stasinopoulos, Dm & Rigby, Robert & Heller, Gillian & Voudouris, Vlasios & De Bastiani, Fernanda. (2017). Flexible regression and smoothing: Using GAMLSS in R. 10.1201/b21973.

Stasinopoulos, Dm & Rigby, Robert. (2007). Generalized additive models for Location Scale and Shape (GAMLSS) in R. Journal of Statistical Software. 23. 10.18637/jss.v023.i07.

Klawitter, S. & Kacprowski, T. (2023). A visualization tool for continuous reference intervals based on GAMLSS. Journal of Laboratory Medicine. https://doi.org/10.1515/labmed-2023-0033

zlog

Hoffmann, G., Klawonn, F., Lichtinghagen, R. & Orth, M. (2017). The zlog value as a basis for the standardization of laboratory results. LaboratoriumsMedizin, 41(s1), 20170135. 10.1515/labmed-2017-0135

Bowley Skewness

Klawonn, F., Hoffmann, G., & Orth, M. (2020). Quantitative laboratory results: normal or lognormal distribution?, Journal of Laboratory Medicine, 44(3), 143-150. 10.1515/labmed-2020-0005.

reflimR

Hoffmann, G., Klawitter, S., Trulson, I., Adler, J., Holdenrieder, S., & Klawonn, F. (2024). A Novel Tool for the Rapid and Transparent Verification of Reference Intervals in Clinical Laboratories. Journal of Clinical Medicine, 13.

Klawonn, F., Hoffmann, G., Holdenrieder, S., & Trulson, I. (2024). reflimLOD: A Modified reflimR Approach for Estimating Reference Limits with Tolerance for Values Below the Lower Limit of Detection (LOD). Stats.

Georg Hoffmann & Frank Klawonn (2022).Überprüfung von Referenzintervallen: Schnelle Orientierung. https://www.trillium.de/zeitschriften/trillium-diagnostik/ausgaben-2022/td-heft-2/2022-immunologie/default-167018def5/ueberpruefung-von-referenzintervallen-schnelle-orientierung.html

Age partitioning

Klawitter, S., Böhm, J., Tolios, A. & Gebauer, J. (2024). Automated sex and age partitioning for the estimation of reference intervals using a regression tree model. Journal of Laboratory Medicine, 48(5), 223-237. https://doi.org/10.1515/labmed-2024-0083

Yang Q, Lew HY, Peh RH, Metz MP, Loh TP. An automated and objective method for age partitioning of reference intervals based on continuous centile curves. Pathology. 2016;48(6):581-585. 10.1016/j.pathol.2016.07.002.

Peng, Xiaoxia & Lv, Yaqi & Feng, Guoshuang & Peng, Yaguang & Li, Qiliang & Song, Wenqi & Ni, Xin. (2018). Algorithm on age partitioning for estimation of reference intervals using clinical laboratory database exemplified with plasma creatinine. Clinical Chemistry and Laboratory Medicine (CCLM). 56. 10.1515/cclm-2017-1095.

Version

Older versions may also work, but full functionality is not guaranteed.