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IMPORTANT NOTE REGARDING WORD LIMIT REQUIREMENTS:
Please note that each and every assignment has its own word limit.
Bias and confounding
When it comes to healthcare, bias and confounding are standard terms in the delivery of services related to the sector. They mainly come up in an epidemiological study case. Bias, for instance, in an error or a systematic mishap that happens due to incorrect presentation of estimates regarding an effect of the exposure on a particular interest. Necessarily, the kind of error may give a high or a low estimate regarding some actual value of items. It may also have some issues with the direction of the failure, as it might have been noted.
Essentially, it is hard to quantify such errors in terms of the reach and the magnitude. It happens in a way that makes the adjustments on the forms as well as the analysis of the necessary information (Sadhra, Kurmi, Sadhra, Lam, & Ayres, 2017). Considerations and the control of the data and control show that bias can be made at the initial stages of design and conduct and will go a long way to affect the results of the study.
On the other hand, confounding regards the provision of alternative or rather another explanation on the connection between some exposure and the outcome of such data. Some of the disclosure may not correlate with the risk factor. This may be connected in some way to the finding reported in such epidemiology; it is, therefore, essential to understanding the issues or the factors that have a direct link to t the disease as well as those that exist as proxy measures (Kim & Basu, 2016). Such actions are necessary to understand the unknown cases and causes of disease. Proxy causes can be issues of age as well as economic status and the like. Considering a variable as a confounder is essential such as associating some variable to the outcome or, on the other hand, something that lies in the pathway between the exposure and disease itself.
This is just a way of modification and includes a reduction of the potential of confounding by putting a random assignment that brakes any linkages between the subject and the confounders (Streeter et al., 2017). In such a response, it is possible to generate groups that can be compared with the resulting variable fairly.
American Psychological Association. Publication Manual of the American Psychological Association (6th Ed.). Washington, DC: Author.
Kim, D. D., & Basu, A. (2016). Estimating the medical care costs of obesity in the United States: systematic review, meta-analysis, and empirical analysis. Value in Health, 19(5), 602-613.
Sadhra, S., Kurmi, O. P., Sadhra, S. S., Lam, K. B. H., & Ayres, J. G. (2017). Occupational COPD and job exposure matrices: a systematic review and meta-analysis. International Journal of Chronic Obstructive Pulmonary Disease, 12, 725.
Streeter, A. J., Lin, N. X., Crathorne, L., Haasova, M., Hyde, C., Melzer, D., … & Henley, W. E. (2017). Adjusting for unmeasured confounding in nonrandomized longitudinal studies: a methodological review. Journal of Clinical Epidemiology, 87, 23-34.
What is researcher bias and how to we control it?
Respond to the question above in BOLD based on the three paragraphs ABOVE it after reading the attachment… in APA format with At least two references and a minimum of 200 words….. .(The List of References should not be included in the word count.)
- Validate an idea with your own experience.
- Make a suggestion.
Be sure to support your postings and responses with specific references to the Learning Resources.
It is important that you cover all the topics identified in the assignment. Covering the topic does not mean mentioning the topic BUT presenting an explanation from the context of ethics and the readings for this class
To get maximum points you need to follow the requirements listed for this assignments 1) look at the word/page limits 2) review and follow APA rules 3) create subheadings to identify the key sections you are presenting and 4) Free from typographical and sentence construction errors.
REMEMBER IN APA FORMAT JOURNAL TITLES AND VOLUME NUMBERS ARE ITALICIZED.