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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    BMC Medical Research Methodology

  • ISSN

    1471-2288

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    62

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    1-9

  • UT code for WoS article

    000319669000001

  • EID of the result in the Scopus database