UNIVARIATE VS. BIVARIATE ANALYSES AND REGRESSION
Using the materials in the module homepage and in the background section, please address the following:
- What is the difference between "univariate" and "multivariate" analyses? (1 page)
- Define and contrast dependent versus independent variables. (1 page)
- Describe the difference between logistic regression and linear regression. What types of variables are used for the dependent variable? (1 page)
Length: Case Assignment should be at least 3 pages in length.
References: 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.
References (Please use these references)
Barrat, H. & Kirwan, M. (2009) Confounding, interactions, methods for assessment of effect modification.Health Knowledge. Retrieved from http://www.healthknowledge.org.uk/public-health-te...
DeLong, E., Li, L., & Cook, A., (2014). Pairing matching vs.stratification in cluster – Randomized trial. NIH Collaboratory
Lowry, R. (2016). Simple logistical regression. VassarStats: Website for Statistical Computation. http://www.vassarstats.net/logreg1.html
McDonald, J. H. (2014). Logistic Regression. In Handbook of Biological Statistics.Retrieved from http://www.biostathandbook.com/simplelogistic.html
National Library of Medicine. (n.d). Dependent and Independent Variables. https://www.nlm.nih.gov/nichsr/stats_tutorial/sect...
National Science Digital Library's Computation Science Education Research Desk. (2016). Univariate data and bivariate data. Retrieved from http://www.shodor.org/interactivate/discussions/Un...
National Science Digital Library's Computation Science Education Research Desk. (2016). Graphing and interpreting bivariate data. Retrieved from http://www.shodor.org/interactivate/discussions/Gr...
Public Health Action Support Team (PHAST). (2020). Role of chance, bias and confounding in epidemiological studies. https://www.healthknowledge.org.uk/e-learning/epid...
Schneider, R. A. (2010). Chpt 10 t-test and one-way analysis of variance. pp. 72-77 (section on ANOVA) in Basic statistics for social workers, revised edition. The Rowman & Littlefield Publishing Group. Retrieved from Trident University Library.
VanderWeele, T. J. (2012). Confounding and effect modification: Distribution and measure. Epidemiologic Methods, 1(1), 55-82. Retrieved from Trident University Library.
Wunsch, G. (2007). Confounding and control. Demographic Research, 16, 97-120. Retrieved from Trident University Library.