Project #72191 - statistics discussion

Read the article “How confidence intervals become confusion intervals,” available on the BMC Medical Research Methodology website: http://www.biomedcentral.com/1471-2288/13/134

Note: If this link does not work, you may need to copy and paste it into your web browser.

A meta-analysis is a research paper that analyzes the results of all the research studies pertaining to a particular topic. For example, someone could write an analysis on all the medical studies from 1990 to 2010 on the effects of caffeine on the study habits of college students.

In Example 1, the effects of statins on overall mortality is discussed.  Figure 1 on page 3 shows the results of five meta-analyses on the relative risk of overall mortality with statin use in primary prevention.

Write a response to the following discussion question in the Discussion forum:

  • What is the total number of studies and total number of patients included in all five of the meta-analyses?
  • What is the mean value of the relative risk of overall mortality with statin use in primary prevention for each of the five meta-analyses?
  • Why is it significant that the Thavendiranathan 2006 and the Ray 2010 confidence intervals cross over the vertical line at 1?
  • Discuss how the results from the five meta-analyses could confuse readers. How do the authors of the article explain the results of this study?

Note. Initial answers to the discussion question must be substantive and in the range of 250-400 words. Any references used should be properly cited following APA formatting guidelines. Initial discussion question responses are due by 11:59 p.m. (Eastern Time) on Thursday.

Subject Mathematics
Due By (Pacific Time) 06/04/2015 12:00 am
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