Confidence interval for quantiles and percentiles.
biostatistics
confidence intervals
extra-analytical phase
statistical methods
Journal
Biochemia medica
ISSN: 1330-0962
Titre abrégé: Biochem Med (Zagreb)
Pays: Croatia
ID NLM: 9610305
Informations de publication
Date de publication:
15 Feb 2019
15 Feb 2019
Historique:
received:
28
07
2018
accepted:
25
10
2018
entrez:
29
12
2018
pubmed:
29
12
2018
medline:
14
5
2019
Statut:
ppublish
Résumé
Quantiles and percentiles represent useful statistical tools for describing the distribution of results and deriving reference intervals and performance specification in laboratory medicine. They are commonly intended as the sample estimate of a population parameter and therefore they need to be presented with a confidence interval (CI). In this work we discuss three methods to estimate CI on quantiles and percentiles using parametric, nonparametric and resampling (bootstrap) approaches. The result of our numerical simulations is that parametric methods are always more accurate regardless of sample size when the procedure is appropriate for the distribution of results for both extreme (2.5
Identifiants
pubmed: 30591808
doi: 10.11613/BM.2019.010101
pii: bm-29-1-010101
pmc: PMC6294150
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
010101Déclaration de conflit d'intérêts
Potential conflict of interest: None declared.
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