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Contact
You are welcome to:
- Submit suggestions and Bugs at: https://github.com/SandraKla/AdRI/issues
- Make a pull request on: https://github.com/SandraKla/AdRI/pulls
- Write an Email with any questions and problems to: s.klawitter@ostfalia.de
Link to the publication: A visualization tool for continuous reference intervals based on GAMLSS
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.
GAMLSS & RI
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
Georg Hoffmann & Frank Klawonn (2022). RefLim: Quick & Easy Verification of Reference Limits in Laboratory Medicine. https://reflim.github.io/Epub/
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
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
- boot: ≥ 1.3-28
- dplyr: ≥ 1.0.8
- DT: ≥ 0.21
- gamlss ≥ 5.4-1
- gamlss.add: ≥ 5.1-6
- plotly: ≥ 4.10
- reflimR: ≥ 1.0.6
- rpart: ≥ 4.1-15
- rpart.plot: ≥ 3.1.0
- shiny: ≥ 1.7.1
- shinydashboard ≥ 0.7.2
- zoo: ≥ 1.8-9
Older versions may also work, but full functionality is not guaranteed.