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Поперечные (одномоментные) исследования в здравоохранении

Поперечные (одномоментные) исследования в здравоохранении

Abstract

В настоящей работе представлены основные принципы планирования, проведения и статистической обработки данных поперечных (одномоментных) исследований в здравоохранении. Приведены практические примеры расчета размера выборки и оценки связи между факторами риска с помощью онлайн калькуляторов и пакета для обработки эпидемиологических данных «Epi InfoTM». Авторы представляют практические примеры использования поперечных исследований в литературе, а также достоинства и недостатки данного типа исследований. Настоящая статья призвана дать общие сведения о поперечных исследованиях, и не заменяет прочтения специализированной литературы по клинической эпидемиологии.

In this paper we present basic principles of planning and carrying out cross-sectional studies in health sciences as well as analyzing the data collected in these studies. We present practical examples of sample size and effect measures calculation for cross-sectional studies using online calculators and Epi Info software. Examples of studies using cross-sectional design from international peer-reviewed literature are also presented. This article provides general introduction to cross-sectional studies and does not substitute specialized literature in clinical epidemiology.

Keywords

ПРИНЦИПЫ ПЛАНИРОВАНИЯ ИССЛЕДОВАНИЙ,ПОПЕРЕЧНЫЕ (ОДНОМОМЕНТНЫЕ) ИССЛЕДОВАНИЯ,СТАТИСТИЧЕСКАЯ ОБРАБОТКА,ЭПИДЕМИОЛОГИЯ,ДИЗАЙН ИССЛЕДОВАНИЯ,PRINCIPLES OF RESEARCH PLANNING,CROSS-SECTIONAL STUDIES,STATISTICAL ANALYSIS,EPIDEMIOLOGY,STUDY DESIGN,ЗЕРТТЕУЛЕРДі ЖОСПАРЛАУ ПРИНЦИПТЕРі,(БіРСәТТіК) МәЛіМЕТТЕРДі,СТАТИСТИКАЛЫқ өңДЕУ,ЗЕРТТЕУ ДИЗАЙНЫ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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