Post a brief summary (around 60 words) of each of the articles you found on this topic. Provide the article’s bibliography as well.
Post a brief summary (around 60 words) of each of the articles you found on this topic. Provide the article’s bibliography as well.
Cassel, Christine K. “Statistics and Ethics: Models for Strengthening Protection of Human Subjects in Clinical Research.” Proceedings of the National Academy of Sciences of the United States of America 106.52 (2009): 22037-2038. J Stor.
This article discusses a method on reducing the ethics involved in clinical trials. Often in these comparative tests, one test group is usually significantly better than the other and Cassel explains how this is a problem and a solution to solve this issue. She also discussed the idea of personalized medicine which would further advance the medical system.
Gilbert, John P., Bucknam McPeek, and Frederick Mosteller. “Statistics and Ethics in Surgery and Anesthesia.” Science ns 198.4318 (1977): 684-89. J Stor. American Association for the Advancement of Science.
Gilbert, McPeek, and Mosteller take a different approach. They suggest that although comparative clinical trials may be unethical, we should be trying to convince as many people to do it as we can. If there are people participating in a clinical trial that are similar to us, then they will be finding out research to help benefit you.
Cassel, C. K. “Statistics and Ethics: Models for Strengthening Protection of Human Subjects in Clinical Research.” Proceedings of the National Academy of Sciences 106.52 (2009): 22037-2038. Print.
This article was very useful in understanding the issues surrounding the medical field today. Specifically, it talked about the “two-armed bandit” problem and how that affects patients. Whats more, this article provided viable solutions to avoid, and ultimately fix, this ethical issue in the future.
Gilbert, John P., Bucknam McPeek, and Frederick Mosteller. “Statistics and Ethics in Surgery and Anesthesia.” Science, Technology & Human Values 198.1 (1978): 56. JSTOR. Web. 20 Nov. 2013.
This article examines the issues raised by human experimentation, especially in medicine. However, the authors of this article take a different outlook on this age old ethical issue. The major question of this article is “do we owe the past or the future?” If you want an interesting ethical, philosophical and statistical read, pick this article.
One of my articles went over different ways that people do unethical things from the business standpoint. There were many examples of what people do in the real world for their companies that are unethical. One of the examples was when some major companies own factories in other countries and they’re seen as sweat shops.
My other article that I read went through what are ethical things from a business prospective and how to run an ethical business if given the chance. It talked about when researching and finding data that being ethical can build relationships with other businesses and can lead to bigger things.
http://mres.gmu.edu/readings/BayesianArticles/Berry2004.pdf
My first article was based on Bayesian statistics. It was a different statistical approach that I had never heard of. I thought it was very interesting learning about it and how it is an ethical approach. This method is used mostly in clinical trials but can also be used in other observations.
https://www.stat.auckland.ac.nz/~iase/publications/13/Seltzer.pdf
My second article was based on a statician that worked with government statistics. He discussed how one has to be ethical when creating statistics. It was very interesting because of the specific examples he used. He also provided a lot of good advice to help someone who wants to do statistics to stay ethical.
http://www.jstor.org/stable/pdfplus/25123527.pdf?acceptTC=true&acceptTC=true&jpdConfirm=true
This article was very interesting to me. The main thing the article talked about was the five standards of ethical behavior (the law, organizational policies, code of behavior, society’s unwritten rules, and the individual conscience.) It also talked about the role of the law in determining ethical behavior in business.
http://www.jstor.org/stable/25442095
I thought this article was also very interesting. It talked about the importance of significance levels and power. The most important part, though, was the example about the importance of sample size. It talked about how the sample size can completely alter research. It also talked about how unethical it is for a researcher to use an improper sample size
One of my articles showed ethical challenges of statistics in the country of New Zealand. New Zealand is one of few countries which try to satisfy the twelve Principles of Official Statistics. Major challenges were the rights of the first release of studies, differentiate between personal and business information, and over sampling.
The second article states the effect of pedagogy on students ethical responsibility in statistics. That basically means, how students’ research and interpretation with ethical education differ from other students without any ethical business education.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1714517/pdf/brmedj00045-0026.pdf
Statistics and Ethics in Medical Research: Misuse of Statistics is Unethical
This article was interesting to me because this is an article about a real life situation that occurred in which statistics would have been a valuable tool to use. This case involved a divorce case in which there was a love child, but the father was unknown. This article is mainly about the main ways that an experiment can go wrong.
http://www.amstat.org/about/ethicalguidelines.cfm
Ethical Guidelines for Statistical Practice
This article was a very informative article. I think this is a great article to read for anyone that practices statistics every now and then, and for statisticians. The overall purpose of this article is to inform people of the ethical guidelines when practicing statistics. I thought this article was interesting, also because it talked about the responsibilities and obligations that a statistician or anyone else that practices statistics has.