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  4. General Concepts In Biostatistics And Clinical Epidemiology: Observational Studies With Cross-Sectional And Ecological Designs
 
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General Concepts In Biostatistics And Clinical Epidemiology: Observational Studies With Cross-Sectional And Ecological Designs

Date Issued
2019-09-30
Author(s)
Arancibia, Marcelo  
Facultad de Medicina  
Papuzinski, Cristian  
Facultad de Medicina  
Ricardo Cataldo
Jana Stojanova
DOI
10.5867/medwave.2019.08.7698
WoS ID
WOS:000544211100003
Abstract
Observational studies evaluate variables of interest in a sample or a population, without intervening in them. They can be descriptive if they focus on the description of variables, or analytical when comparison between groups is made to establish associations through statistical inference. Cross-sectional studies and ecologicalalso called correlationalstudies are two observational methodological designs. Cross-sectional studies collect the data of the exposure variable and the outcome at the same time, to describe characteristics of the sample or to study associations. Ecological studies describe and analyze correlations among different variables, and the unit of analysis is aggregated data from multiple individuals. In both types of studies, associations of interest for biomedical research can be established, but no causal relationships should be inferred. This is the second of a methodological series of articles on general concepts in biostatistics and clinical epidemiology developed by the Chair of Scientific Research Methodology at the School of Medicine, University of Valparaíso, Chile. In this review, we address general theoretical concepts about cross-sectional and ecological studies, including applications, measures of association, advantages, disadvantages, and reporting guidelines. Finally, we discuss some concepts about observational designs relevant to undergraduate and graduate students of health sciences.
Subjects

Medicine, General And...

Medicine

OCDE Subjects

Medical And Health Sc...

Quartile (Date Issued)
SQ
License
acceso abierto
Open Science Path
https://creativecommons.org/licenses/by-nc/4.0/

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