V Srujan Kumar¹, KVNR Pratap², T Madhavi Padma³, V Siva Kalyan⁴ and Tejaswi Kala⁵

¹Senior Lecturer, Department of Public Health Dentistry, Mamata Dental College, Khammam, India
²Professor and HOD, Department of Public Health Dentistry, Mamata Dental College, Khammam, India
³Professor, Department of Public Health Dentistry, Mamata Dental College, Khammam, India
⁴Reader, Department of Public Health Dentistry, Mamata Dental College, Khammam, India
⁵Assistant Professor, Department of Public Health Dentistry, Tirumala Institute of Dental Sciences, Nizamabad, India

*Corresponding Author: Tejaswi Kala, Assistant Professor, Department of Public Health Dentistry, Tirumala Institute of Dental Sciences, Nizamabad, India.

Received: January 10, 2024; Published: January 19, 2024

Abstract

Bias refers to any systematic deviation in the process of collecting, analyzing, interpreting, publishing, or reviewing data that can result in results that are consistently different from the actual truth. The concept of bias has traditionally been linked to three primary interpretations: a) Prejudice of the observer (including the impact of a theory on observation) b) Bias as a systematic error of an instrument c) Bias as a result of an incorrect study design. Biases, whether acquired consciously or absorbed from cultural surroundings, have been inherent in historical research since the early origins of the field. In our review, we have elucidated the several forms of bias that can arise in epidemiological studies and have also outlined strategies to mitigate its impact. Additional research is necessary to elucidate the phenomenon of bias in research..

Keywords:Bias; Review; Clinical Research; Types of Bias

References

1. David Chavalarias and John PA Ioannidis. Science mapping analysis characterizes 235 biases in biomedical research”. Journal of Clinical Epidemiology 63 (2010): 1205-1215.
2. Paolo Vineis. “History of bias”. History of Epidemiology 47 (2002): 156-161.
3. John Wiley. “Bias overview”. Encyclopedia of biostatistics (2005): 1-5.
4. Miguel Delgada Rodriguez, Javier Llorca, Bias glossary 15 (2004): 635-641.
5. Christopher J Panucci and Edwin G Wilkins. “Identifying and avoiding bias in research”. National Institute of Health 126.2 (2010): 619-625.
6. Selection bias. Revolvy Quizzes (2016).
7. Biases health knowledge (2009).
8. Soben peter. “Essentials of preventive and community dentistry”. 5^th Arya Publishers. (2009): 68-70.
9. Sandhya Jain. “Dentistry bias in dental research/dentistry”. Annals of International Medical and Dental Research 5 (2016): 5-9.v
10. More than 30 types of bias. Medical biostatistics.
11. Lorraine K Alexander., et al. “Selection bias”. Department of epidemiology. 2^nd
12. Sources of systematic error or bias: Information bias.
13. ump.edu.pl/files/8_483_errors_in_epidemiological_studies.pdf
14. Fernanda de Oliveira Souza, ., et al. “Bias in case- control studies: can it be avoided”. (2016).
15. Gael P Hammer., et al. “Avoiding bias in observational studies”. 106.41 (2009): 664-668.
16. G Tripepi., et al. “Bias in Clinical Research”. A B C of Epidemiology 73 (2008): 148-153.
17. Andrea C Triccoa., et al. “Few systematic reviews exist Documenting the extent of bias: a systematic review”. Journal of Clinical Epidemiology 61 (2008): 422-434.
18. Neil Pearce., et al. “Bias in occupational epidemiological Studies”. Occupational Environmental Medicine 64 (2006): 562-568.
19. Ana Maria Simundic. Bias in Research.
20. F Rivas-Ruiz., et al. “Bias in clinical epidemiological study designs”. Allergologia et immunopatholgia1 (2013): 54-59.

Citation

Citation: Tejaswi Kala., et al. “Bias in Clinical Research: A Review Article".Acta Scientific Dental Sciences 8.2 (2024): 33-40.

Copyright

Copyright: © 2024 Tejaswi Kala., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.