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Räkna med det interna bortfallet [Count with the internal drop-out]
Central Hospital, Kristianstad. (PRO-CARE)ORCID iD: 0000-0003-4820-6203
Lund University.
2006 (Swedish)In: Vård i Norden, ISSN 0107-4083, E-ISSN 1890-4238, Vol. 26, no 3, 54-56 p.Article in journal (Other academic) Published
Abstract [en]

Missing data is a pragmatic fact

that must be investigated and not

a disaster to be mitigated. It is a

property of the population to

which we seek to generalize and

can cause problems not only

through its impact on the sample

size available for analysis but

also through its potential hidden

biases. Making imputations without

first analysing the randomness

of the missing responses can

even be worse than doing nothing,

so care is needed while

imputing missing values. This

paper reflects on how to prevent,

analyse and handle missing data

and how effects of imputation can

be checked.

Place, publisher, year, edition, pages
2006. Vol. 26, no 3, 54-56 p.
Keyword [en]
Statistics, missing data, drop-out, methodology, caring sciences
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-12048DOI: 10.1177/010740830602600312OAI: oai:DiVA.org:hkr-12048DiVA: diva2:720679
Available from: 2014-06-02 Created: 2014-06-02 Last updated: 2015-11-18Bibliographically approved

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Westergren, Albert
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CiteExportLink to record
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Citation style
  • apa
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