Imputating missing values in diary records of sun-exposure study

Anna Szynkowiak Have, Peter Alshede Philipsen, Jan Larsen, Lars Kai Hansen, E. Thieden, H. C. Wulf

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    Abstract

    In a sun-exposure study, questionnaires concerning sun-habits were collected from 195 subjects. This paper focuses on the general problem of missing data values, which occurs when some, or even all of the questions have not been answered in a questionnaire. Here, only missing values of low concentration are investigated. We consider and compare two different models for imputating missing values: the Gaussian model and the non-parametric K-nearest neighbor model.
    Original languageEnglish
    Title of host publicationProceedings of The IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing XI
    PublisherIEEE Press
    Publication date2001
    Pages489-498
    ISBN (Print)0-7803-7196-8
    DOIs
    Publication statusPublished - 2001
    EventThe IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing XI - North Falmouth, MA
    Duration: 1 Jan 2001 → …

    Conference

    ConferenceThe IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing XI
    CityNorth Falmouth, MA
    Period01/01/2001 → …

    Bibliographical note

    Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Keywords

    • sun-exposure
    • missing values
    • Imputation

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