T2 How would you define and imply causal inference relative to your quasi-experimental designed project and separate it from bias and other factors that may influence it?

T1 After viewing the video, discuss how you plan to protect your patient’s privacy within your project.

https://videocast.nih.gov/summary.asp?Live=33360&start=182&duration=8224&bhcp=1

T2 How would you define and imply causal inference relative to your quasi-experimental designed project and separate it from bias and other factors that may influence it?

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=hch&AN=116288407&site=eds-live&scope=site&custid=s8333196&groupid=main&profile=eds1

 

T3 Using your project proposal on improving self-management skills of diabetic patient to effectively control their blood glucose level , provide an example of each of the types of errors described in the article.

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=edsdoj&AN=edsdoj.b1da50f685f4486d809494257f7e7181&site=eds-live&scope=site&custid=s8333196&groupid=main&profile=eds1

T4 Examine your process of data collection and how you will maintain patient privacy during your intervention. How can the Christian worldview of carrying out work within the public arena with compassion, justice, and concern for the common good affect data collection and patient privacy?

T5 Provide examples of how you addressed feasibility and statistical versus clinical significance in your proposal. For example, why did you select a four-week time frame for your project versus a power analysis? Did you select this because it was feasible? Why or why not and explain.

T6 What is the difference between clinical and statistical significance and why are both important to the patient improvement outcomes of your project?

https://doi.org/10.1016/j.prrv.2017.02.002

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