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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


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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 2, the effects of various blood thinning drugs were compared.  Figure 2 on page 3 shows the results of two separate studies (not meta-analyses) that were investigating the effectiveness of two new oral anticoagulants (OACs) to reduce mortality when compared to warfarin, which is a commonly prescribed anticoagulant.


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


In the Connolly 2009 study, what medication and levels of medication were studied?

In the Granger 2011 study, what medication was studied?

What is the mean value of the relative risk of overall mortality compared to warfarin for each new medication?

What is the significance of the vertical line at 1? Why did Granger et al. show the upper limit to be .998 and not round it to 1.00?

Discuss how the results from the Connolly 2009 and Granger 2011 studies produce confusing conclusions. How do the authors explain the statistical results of these studies?

Note. Answers to the discussion question must be substantive and in the range of 250-400 words

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