Choosing the best statistical method for reference interval estimation
Section snippets
Conflicts of interest
The authors have no conflicts of interest to declare.
Acknowledgments
This work was supported by a Foundation Grant from the Canadian Institutes of Health Research (CIHR) to KA. VH was supported by a CIHR Doctoral award.
References (18)
- et al.
A systematic review of statistical methods used in constructing pediatric reference intervals
Clin. Biochem.
(2013 Sep) - et al.
Reference interval estimation: methodological comparison using extensive simulations and empirical data
Clin. Biochem.
(2017 Dec) - et al.
Reference interval computation: which method (not) to choose?
Clin Chim Acta Int J Clin Chem.
(2012) - et al.
A global multicenter study on reference values: 1. Assessment of methods for derivation and comparison of reference intervals
Clin Chim Acta Int J Clin Chem.
(2017 Apr) Statistical considerations for harmonization of the global multicenter study on reference values
Clin Chim Acta Int J Clin Chem.
(2014)Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory
(2010)- et al.
Influence of statistical method used on the resulting estimate of normal range
Clin. Chem.
(1971 Apr) Processing date for outliers
Biometrics.
(1953)Exploratory Data Analysis
(1977)
Cited by (11)
Effect of sample size and the traditional parametric, nonparametric, and robust methods on the establishment of reference intervals: Evidence from real world data
2021, Clinical BiochemistryCitation Excerpt :However, the CIs of the RIs for the three methods are relatively wide when the sample size is 120. The CI width of the upper limit of the RI is particularly larger than 0.2 times of the RI width, indicating low precision when the RI of the TSH is established for 120 samples [6,7]. Unsurprisingly, the upper and lower limits of the RIs established using the three methods were more consistent when using a larger sample size (greater than or equal to 2000).
Reference interval of monocyte distribution width (MDW) in healthy blood donors
2020, Clinica Chimica ActaCitation Excerpt :Specifically, the current CLSI document recommends the use of the non-parametric method, as the standard method, and the robust method, as an alternative in case of small samples. The Harrell-Davis method represents a bootstrap version of the traditional non-parametric method, but it is more efficient than the simple non-parametric method [25]. However, although the Harrell-Davis method has an excellent ability to establish RI, it involves more complex computation and, consequently, requires more expertise.
Real-world big-data studies in laboratory medicine: Current status, application, and future considerations
2020, Clinical BiochemistryCitation Excerpt :This requires the participation of programmers, data analysts, and statisticians. Based on published literature [18,23] and the experience of our research team [24–26], we present the general study process for establishing RIs using real-world data from clinical laboratories in Fig. 2. The research process includes data collection, data cleaning, data description, statistical analysis, and the publication of results.
Harmonizing the post-analytical phase: focus on the laboratory report
2024, Clinical Chemistry and Laboratory Medicine
- 1
These authors contributed equally to this work.