Szczegóły publikacji
Opis bibliograficzny
Statistical analysis of analytical results near detection limits with illustrations using elemental determinations in medical and biological samples by total reflection X-ray fluorescence / Aldona Kubala-Kukuś, Dariusz Banaś, Marek Pajek, Janusz Braziewicz, Stanisław Góźdź, Joanna CHWIEJ, Stanisław Głuszek, Paweł Jagodziński, Eva Marguí, Monika Pierzak-Stępień, Agata Pniak, Zuzanna Setkowicz, Ilona Stabrawa, Regina Stachura, Karol Szary, Grzegorz Wesołowski, Anna Wojsa, Jolanta Wudarczyk-Moćko // Spectrochimica Acta. Part B, Atomic spectroscopy ; ISSN 0584-8547. — 2024 — vol. 213 art. no. 106865, s. 1-11. — Bibliogr. s. 10-11, Abstr. — Publikacja dostępna online od: 2024-01-28. --- Selected paper from the 19th international conference on Total Reflection X-Ray Fluorescence Analysis and Related Methods (TXRF 2023) held in Clausthal (Germany), September 5-8, 2023
Autorzy (18)
- Kubala-Kukuś Aldona
- Banaś Dariusz
- Pajek M.
- Braziewicz Janusz
- Góźdź Stanisław
- AGHChwiej Joanna
- Głuszek Stanisław
- Jagodziński Paweł
- Marguí Eva
- Pietrzak-Stępień Monika
- Pniak Agata
- Setkowicz Zuzanna
- Stabrawa Ilona
- Stachura Regina
- Szary Karol
- Wesołowski Grzegorz
- Wojsa Anna
- Wudarczyk-Moćko Jolanta
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151896 |
|---|---|
| Data dodania do BaDAP | 2024-03-26 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.sab.2024.106865 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Spectrochimica Acta, Part B, Atomic Spectroscopy |
Abstract
The following paper presents statistical analysis of measurement results close to the detection limit of an analytical technique and being random-left censored data. For such observations the measured value is not known precisely but is restricted by the detection limit. In the paper, the idea of random-left censored observations and data analysis are presented generally and next it is shown how to include censored observations into the statistical analysis with the use of available statistical analysis software (survival analysis procedure). Statistical procedure is presented on the examples of the X-ray spectroscopic analysis of element concentrations in medical and biological samples. Censored observations are included in data analysis and quartiles are estimated. Additionally, two- and multigroup comparison is presented for the censored observations. The accuracy of the presented procedure is demonstrated and discussed on the basis of Monte-Carlo simulations.
