What assumptions about the data are required to support ANOVA? Is ANOVA the appropriate data analysis method based on these assumptions? Why or why not?

ANOVA Tests for Three or More Groups Biostatistical considerations are an important part of any clinical trial even before the first subject is enrolled. Sample size calculations need to consider the desired power of the study, the number of locations at which it will be conducted, an estimate of a clinically significant treatment effect for the outcome variable, and its variance. All descriptive, independent, and primary and secondary outcome variables need to be identified and defined and the data analysis plan must be clearly articulated. To prepare for this Discussion, read the Cleland article, Comparison of the Effectiveness of Three Manual Physical Therapy Techniques in a Subgroup of Patients with Low Back Pain from this weeks Learning Resources.. By Day 4, post a comprehensive response to the following: The data analysis plan anticipates 93% power to detect a difference in the primary outcome across the four locations but only 83% power within a single location. What is the key factor in this difference? Why do you think the study was designed this way? What value or concerns does it add to the study? Read a selection of your colleagues’ postings. By Day 6, respond to at least one of your colleagues’ postings in one or more of the following ways: Ask a probing question. Expand on the colleague’s posting with additional insight and resources. Offer polite disagreement or critique, supported with evidence. In addition, you may also respond as follows: Offer and support an opinion. Validate an idea with your own experience. Make a suggestion or comment that guides or facilitates the discussion. Return to this Discussion in a few days to read the responses to your initial posting.

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