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:
These biases highlight the importance of careful study design and execution in epidemiological research to minimize errors and provide reliable data. Each type of bias poses unique challenges, and their presence can weaken the credibility of study findings. Understanding the sources and mechanisms of bias equips researchers with the tools to design better studies and apply appropriate analytical adjustments. In this way, minimizing bias is not merely a technical task but a step toward ensuring that epidemiological research provides meaningful and actionable insights for public health.
From Chapter 14:
Now Playing
Biostatistics
78 Views
Biostatistics
252 Views
Biostatistics
282 Views
Biostatistics
234 Views
Biostatistics
120 Views
Biostatistics
59 Views
Biostatistics
112 Views
Biostatistics
54 Views
Biostatistics
79 Views
Biostatistics
69 Views
Biostatistics
110 Views
Biostatistics
101 Views
Biostatistics
60 Views
Biostatistics
92 Views
Biostatistics
120 Views
See More
Copyright © 2025 MyJoVE Corporation. All rights reserved