Confidence interval for quantiles and percentiles
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 pre...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001068990/Details |
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| Matična publikacija: |
Biochemia medica (Online) 29 (2019), 1 ; str. 5-17 |
| Glavni autor: | Ialongo, Cristiano (Author) |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.11613/BM.2019.010101 Biochemia medica (Online) Hrčak |
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| 008 | 200709s2018 ci d |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.11613/BM.2019.010101 | |
| 035 | |a (HR-ZaNSK)001068990 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 041 | 0 | |a eng |b eng | |
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 577 |2 2011 | |
| 080 | 1 | |a 61 |2 2011 | |
| 100 | 1 | |a Ialongo, Cristiano |4 aut | |
| 245 | 1 | 0 | |a Confidence interval for quantiles and percentiles |h [Elektronička građa] / |c Cristiano Ialongo. |
| 300 | |b Graf. prikazi. | ||
| 504 | |a Bibliografija: 35 jed. | ||
| 504 | |a Abstract. | ||
| 520 | |a 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 (2.5th and 97.5th) and central (25th, 50th and 75th) percentiles and corresponding quantiles. We also show that both nonparametric and bootstrap methods suit well the CI of central percentiles that are used to derive performance specifications through quality indicators of laboratory processes whose underlying distribution is unknown. | ||
| 653 | 0 | |a Biostatistika |a Statističke metode |a Laboratorijska medicina | |
| 773 | 0 | |t Biochemia medica (Online) |x 1846-7482 |g 29 (2019), 1 ; str. 5-17 |w nsk.(HR-ZaNSK)000655372 | |
| 981 | |b Be2018 |b B03/18 | ||
| 998 | |b tino2009 | ||
| 856 | 4 | 0 | |u https://doi.org/10.11613/BM.2019.010101 |
| 856 | 4 | 0 | |u https://www.biochemia-medica.com/en/journal/29/1/10.11613/BM.2019.010101 |y Biochemia medica (Online) |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/213852 |y Hrčak |