Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10138874" target="_blank" >RIV/00216208:11320/13:10138874 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.biomedcentral.com/content/pdf/1471-2288-13-62.pdf" target="_blank" >http://www.biomedcentral.com/content/pdf/1471-2288-13-62.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/1471-2288-13-62" target="_blank" >10.1186/1471-2288-13-62</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models

Popis výsledku v původním jazyce

Background: To optimize the planning of blood donations but also to continue motivating the volunteers it is important to streamline the practical organization of the timing of donations. While donors are asked to return for donation after a suitable period, still a relevant proportion of blood donors is deferred from donation each year due to a too low hemoglobin level. Rejection of donation may demotivate the candidate donor and implies an inefficient planning of the donation process. Hence, it is important to predict the future hemoglobin level to improve the planning of donors' visits to the blood bank. Methods: The development of the hemoglobin prediction rule is based on longitudinal (panel) data from blood donations collected by Sanquin (the only blood product collecting and supplying organization in the Netherlands). We explored and contrasted two popular statistical models, i.e. the transition (autoregressive) model and the mixed effects model as plausible models to account fo

Název v anglickém jazyce

Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models

Popis výsledku anglicky

Background: To optimize the planning of blood donations but also to continue motivating the volunteers it is important to streamline the practical organization of the timing of donations. While donors are asked to return for donation after a suitable period, still a relevant proportion of blood donors is deferred from donation each year due to a too low hemoglobin level. Rejection of donation may demotivate the candidate donor and implies an inefficient planning of the donation process. Hence, it is important to predict the future hemoglobin level to improve the planning of donors' visits to the blood bank. Methods: The development of the hemoglobin prediction rule is based on longitudinal (panel) data from blood donations collected by Sanquin (the only blood product collecting and supplying organization in the Netherlands). We explored and contrasted two popular statistical models, i.e. the transition (autoregressive) model and the mixed effects model as plausible models to account fo

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

BMC Medical Research Methodology

ISSN

1471-2288

e-ISSN

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Svazek periodika

13

Číslo periodika v rámci svazku

62

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

000319669000001

EID výsledku v databázi Scopus

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