Misleading Statistics- Sample bias

A reliable statistics can be done by several methods and it requires a lot of data collection. Generally, Sampling, which involve selecting the methods to collect sample for the population and how reliable the sources have been selected, will be take into account. This will result a reliable statistics or a misleading statistics, if there is a bias ("Statistics and Probability," 2012). Response bias is usually create a misleading statistics, due to its procedure, which is applied by interviewer to collect data from participants. The information is usually not trustworthy because of two main factors. Firstly, interviewer is questioning the people face to face. So the intention to avoid humiliated, the participants straightforwardly provide the false information. Secondly, Completing a questionnaire publicly is causing the information has no confidentiality. Therefore, it is a reliable data as well (Sternstein, 2010). For instance, In what level girls would preserve her personal hygiene, doctors would not reveal how confident he is to cure a disease, and couples may lie about the problems have in their married life.

Healthy user bias is one among the others factors that could make the statistic be misleading. It means that they randomly pick only the healthy people to do the test on and the result will be the data, which will be used to represent for the whole thing. Normally, the first reason is the moment the researchers want to do a research on how healthy people is, the researchers aim to go somewhere crowd like a company, an office, or a supermarket...et cetera, and they will randomly select the number of people. Otherwise, the people, who are picked by the researchers there, are healthier than the people who stay at home (Wi...

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4. Til Sturmer, FISPE (Unknown). Lesson about Confounding and Selection Bias Taught by the New User Design [PDF file]. Available from: http://www.pharmacoepi.org/pub/1c22d3d0-2354-d714-5186-0d8a16a5ffa6

5. Jo, Raquel, et al.,(2009). Clinical tests. A Systematic Reviews. Available from: https://www.york.ac.uk/inst/crd/SysRev/!SSL!/WebHelp/2_2_DIAGNOSTIC_TESTS.htm

6. Hudson, D., Seah, L., Hite, D., & Tim , H. (2004). Applied economics letters. (4 ed., Vol. 11, pp. 237-240). Retrieved from http://www.tandfonline.com/doi/abs/10.1080/13504850410001674876

7. Bethlehem, J. (2008). How accurate are self-selection web surveys?. Retrieved from http://www.cbs.nl/NR/rdonlyres/EEC0E15B-76B0-4698-9B26-8FA04D2B3270/0/200814x10pub.pdf

8. Investigating patient exclusion bias in meta-analysis. (2005, Febuary). Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/15561753