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SLP MOD 3 MHS 506 BIO/Odds Ratio, Relative Risk, and ANOVA (Essay Sample)


Module 3 - SLP
Calculate the OR and the RR from the provided dataset. Calculate the OR for diabetes (outcome) with a family history of diabetes (exposure). Calculate the RR for allergies (outcome) with a family history of allergies (exposure). Write up sentences to interpret the OR and RR that is calculated. Show your calculations and discuss the significance of each. Make sure to include Hill's Criteria in discussions of potential causality. Given the 95% Confidence Interval, can you determine if the result is statistically significant?
Odds Ratio and 95% CI Calculator
Relative Risk Calculator
SLP Assignment Expectations
Length: SLP Assignment should be at least 2 pages (500 words) in length.
References: At least two references from academic sources must be included (e.g., peer-reviewed journal articles). You may use any required readings from this module for your two references. Quoted material should not exceed 10% of the total paper (since the focus of these assignments is critical thinking). Use your own words and build on the ideas of others. When material is copied verbatim from external sources, it MUST be enclosed in quotes. The references should be cited within the text and also listed at the end of the assignment in the References section (APA formatting recommended).
Organization: Subheadings should be used to organize your paper according to question.
Format: APA formatting is recommended for this assignment. See Syllabus page for more information on APA formatting.
Grammar and Spelling: While no points are deducted for minor errors, assignments are expected to adhere to standards guidelines of grammar, spelling, punctuation, and syntax. Points may be deducted if grammar and spelling impact clarity.
Your assignment will not be graded until you have submitted an Originality Report with a Similarity Index (SI) score <20% (excluding direct quotes, quoted assignment instructions, and references). Papers not meeting this requirement by the end of the session will receive a score of 0 (grade of F). Do keep in mind that papers with a lower SI score may be returned for revisions. For example, if one paragraph accounting for only 10% of a paper is cut and pasted, the paper could be returned for revision, despite the low SI score. Please use the report and your SI score as a guide to improve the originality of your work.
The following items will be assessed in particular:
Achievement of learning outcomes for SLP Assignment.
Relevance: all content is connected to the question.
Precision: specific question is addressed; statements, facts, and statistics are specific and accurate.
Depth of discussion: points that lead to deeper issues are presented and integrated.
Breadth: multiple perspectives, references, and issues/factors considered/
Evidence: points are well supported with facts, statistics, and references.
Logic: presented discussion makes sense; conclusions are logically supported by premises, statements, or factual information.
Clarity: writing is concise, understandable, and contains sufficient detail or examples.
Objectivity: use of first person and subjective bias are avoided.


SLP MOD 3 MHS 506 BIO/Odds Ratio, Relative Risk, and ANOVA
OR for diabetes
DiabetesNo diabetesFamily hx8923112No family hx20168188109191300
The odds ratio is 32.50 at 95% confidence interval (16.93 to 62.39). Since the odds ratio is higher than 1, there is a high likelihood that people from families with a history of diabetes will develop the condition. The family history is similar to the exposure when evaluating the link between family history with diabetes and prevalence of diabetes (exposure). Hence, the odds indicate whether an outcome is likely to occur when there is exposure to the risk factor (Szumilas, 2010). When interpreting whether the association is significant it is necessary to consider the OR of the outcome and confidence intervals (Szumilas, 2010). Additionally, the p value provides more details in determining significance based on the level of exposure of those with a family history with diabetes and those without (Szumilas, 2010).
The confidence interval is large, indicating that the level of precision might be low, but in this case the 95% does not highlight the statistical significance. Even as the OR shows a relationship between the variables, it is necessary to consider the impact of confounding variables. Such variables that are casually associated with diabetes include age and obesity (as measured by the BMI) level. Nonetheless, these variables are considered separately with diabetes as the outcome, and further analysis on the independent values of BMI, age...
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