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Metaanálisis de estudios observacionales en epidemiología: una propuesta de informe. Metaanálisis de Estudios de

D F Stroup1, J A Berlin, S C Morton

  • 1Centers for Disease Control and Prevention, Atlanta, GA 30333, USA. dfs2@cdc.gov

JAMA
|May 2, 2000
PubMed
Resumen

La síntesis de la investigación es crucial para la salud pública. Este estudio desarrolló una lista de verificación para mejorar la presentación de informes y la utilidad de los metanálisis de estudios observacionales para todas las partes interesadas.

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Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
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