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Posted: February 21st, 2023
REPLY TO CLASSMATE’S POST
Obviously, it is extremely important to reduce bias and to reduce confounding for valid epidemiologic research. As a practicing epidemiologist, how would you work to reduce bias in your studies? Also, how would you work to control confounding in your studies? Provide some specific examples of strategies that you would employ.
PLEASE EXPLAIN WHETHER YOU AGREE WITH MY CLASSMATE RESPONSE TO THE ABOVE QUESTION AND WHY? (A MININUM OF 125 WORDS)
CLASSMATE’S POST
One of the best way researchers can avoid bias in their studies is to be objective. Being objective means being open to changes and events that may help further their research along. Researchers should stay focused on their research and never base their research on their own personal feelings. For example, if a research is researching lung cancer, then he or she should focus on lung cancer and all the aspects of such, void of how the researcher feels personally about lung cancer. Such personal feelings could alter the outcomes of the research. Another way a researcher can avoid bias concerns selection of subjects for the study. Researchers should not choose studies in which they already know the outcome. For example, choosing subjects for the study that are not randomly picked, but known subjects in whom the outcome of the study is known. To control confounding in a study, researchers should have a plan and get organized before the study, not while the study is in progress.
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