Data Science in Medical Research.
Background and Objectives: A common technique employed in medical research is to answer questions using statistical inference and to calculate an appropriate test statistic and confidence interval that will determine whether some hypothesis should be rejected or otherwise. There are many issues to c...
| Publicado en: | International Medical Journal Vol. 28; no. 6; pp. 650 - 654 |
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| Autores principales: | , |
| Formato: | equations & formulas research Journal Article |
| Publicado: |
Japan International Cultural Exchange Foundation
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154112882&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154112882 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13412051 23J1 jtl: International Medical Journal issn: 13412051 maglogo: N pubinfo: dt: Dec2021 vid: 28 iid: 6 pid: 29386 pub: Japan International Cultural Exchange Foundation artinfo: ui: 154112882 154112882 154112882 154112882 ppf: 650 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Data Science in Medical Research. aug: au: Croucher, John S. Hon, Stephnie affil: Department of Actuarial Studies and Business Analytics, Macquarie Business School, Macquarie University, Sydney NSW, Australia sug: subj: Data Science Research, Medical Probability Confidence Intervals ab: Background and Objectives: A common technique employed in medical research is to answer questions using statistical inference and to calculate an appropriate test statistic and confidence interval that will determine whether some hypothesis should be rejected or otherwise. There are many issues to consider, including the controversial matter of whether a one- or two-sided alternative is appropriate. The objective of this paper is to provide a precise interpretation of a confidence interval as well examining how conditional probability should be interpreted. Methods and Materials: A novel approach is undertaken for explaining the p-value in relation to a confidence interval that has been used to test a medical hypothesis. It is also apparent that even skilled medical researchers have not been sufficiently trained in statistical analysis do not have the ability to interpret statistical results. Examples to illustrate the techniques are provided. Results: The results in this paper will enable the medial researcher to better understand the nature of confidence intervals and to use them more effectively in reaching conclusions. Conclusion: It is known that there are a number of medical research articles appearing in refereed journals that contain erroneous conclusions through the misinterpretation of data analysis. This paper uses a case study to illustrate that their findings can often be misleading or just plain wrong. pubtype: Academic Journal doctype: equations & formulas research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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