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Published/Copyright: April 16, 2021
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Published Online: 2021-04-16
Published in Print: 2021-04-27

©2021 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Indirect approaches to estimate reference intervals
  4. Reviews
  5. Review of potentials and limitations of indirect approaches for estimating reference limits/intervals of quantitative procedures in laboratory medicine
  6. Separating disease and health for indirect reference intervals
  7. Opinion Papers
  8. Functional reference limits: a case study of serum ferritin
  9. Application of the TML method to big data analytics and reference interval harmonization
  10. Reference limits of high-sensitive cardiac troponin T indirectly estimated by a new approach applying data mining. A special example for measurands with a relatively high percentage of values at or below the detection limit
  11. Age and sex dependent reference intervals for random plasma/serum glucose concentrations related to different sampling devices and determined by an indirect procedure with data mining
  12. Original Articles
  13. Indirect estimation of reference intervals using first or last results and results from patients without repeated measurements
  14. The influence of sampling time on indirect reference limits, decision limits, and the estimation of biological variation of random plasma glucose concentrations
  15. Short Communications
  16. Diurnal variation of leukocyte counts affects the indirect estimation of reference intervals
  17. Reference intervals for platelet indices in seniors and frequency of abnormal results in a population-based setting: a comparison between directly and indirectly estimated reference intervals
  18. Calculation of indirect reference intervals of plasma lipase activity of adults from existing laboratory data based on the Reference Limit Estimator integrated in the OPUS::L information system
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