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2 pages/β‰ˆ550 words
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APA
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Health, Medicine, Nursing
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English (U.S.)
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MHS506: Univariate vs. Bivariate Analyses and Regression

Essay Instructions:

Module 4 - SLP
UNIVARIATE VS. BIVARIATE ANALYSES AND REGRESSION
Interpret the two models that appear below, and address the following additional questions as they pertain to each.
BMI (1 unit) = 1.3 + 2.4 (diabetes) + 2.3 (family history diabetes) + 1.7 (gender) + 1.4 (age) + 1.7 (race) + 2.6 (income) + 3.4 (height), p<0.05
Allergies = 4.5 + 3.8 (Family History Allergies) + 2.1 (gender) + 1.4 (age) + 0.8 (race) + 1.5 (weight), p<0.05
What about confounding? Which of the variables are potential confounders?
Compare and contrast matching on potential confounders versus including them in a regression model.
SLP Assignment Expectations
Length: SLP assignments 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 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 are 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.

Essay Sample Content Preview:

Univariate vs. Bivariate analyses and regression
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Univariate and regression analysis In predicting the BMI, the constant is 1.3, a 1 unit change in diabetes results in a 2.4 changes in BMI, the effect of family history diabetes is 2.3, the effect of gender is 1.7, the effect of age is 1.4, the effect of race is 1.7, impact of income on the BMI is 2.6 and a one inch increase in height results in a 3.4 unit change in the BMI. The independent factors have a positive relationship with the BMI. The p value is <0.05 indicating that the independent variables are meaningful in the model in determining changes in the BMI.
In the second equation allergies is the dependent variable, where the constant is 4.5, the attribute of family history allergies increases the risk of allergies, a 1 unit increase in family history results in a 3.8 unit increase in allergies, the gender factor increases allergies by 2.1, the age factor increases risk of allergy by 1.4, race increases by 0.8 while weight increases the risk of allergy by 1.5. The p value is <0.05 when allergies is the predictor value, and changes of the independent variables are related to the attribute.
Confounding
A confounding variable is associated with exposure (risk factor) and disease (outcome), but this is not part of the causal chain that links exposure-disease relationship (Jager et al., 2008). Family history diabetes, gender, age, race, and income are confounders in influencing the BMI levels in the first equation. In many cases, the primary confounders fall the categories of maternal/ child characteristics, socioeconomic status and environmental exposure (Nurmatov et al., 2012). In the second equation with allergies as the outcome the confounders are family history, allergies, gender, age, race, weight. It is necessary to consider how mediators and confounders affect correlation and relationship of the dependent variables ...
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