Importantly, I am not merely looking for a “right answer” in this Discussion. Rather, it is the intention of this Discussion to lead you to a clear understanding of these concepts through an ongoing asynchronous dialogue with your peers. Toward this end, you are more than welcome to contribute with specific questions, examples, analogies, etc. During the first week of the module your task will be preparing the answers using reading relevant materials. You may discuss the questions with peers (post your questions). During the second week of the module you will write and post your answers to the questions based on the group discussion. Be sure that your posts are thoughtful, professional, and respectful. What does Odds Ratio mean? The odds ratio is equal to exp(B), or sometimes written eB. If we say Odds Ratio=1, what does it mean? If Odds Ratio=.5, what does it mean? What is the main difference between both methods (multiple regression and logistics regression)? If the dependent variable is ordinal data, which method will you use for data analysis? Why? LOGISTIC REGRESSION Explain about the logistic regression Princeton University (N/A). Logit Models for Binary Data. Retrieved May 2016 from http://data.princeton.edu/wws509/notes/c3.pdf Terms and concepts in logistic regression Sperandei, S. (2014). Understanding logistic regression analysis. Retrieved June 2018 from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936971/pdf/biochem-24-1-12-4.pdf Park, H. (2013). An Introduction to Logistic Regression. From Basic Concepts to Interpretation with Particular Attention to the Nursing Domain. Retrieved June 2018 from https://pdfs.semanticscholar.org/3305/2b1d2363aee3ad290612109dcea0aed2a89e.pdf
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