HCS 445 Statistics for Health Sciences

Sep 25th, 2014
Health & Medical
Price: $10 USD

Question description

Week 5 - Discussion 2 – Logistic Regression

Many variables in health research are binary, which means
something composed of two parts, such as, having or not having a
condition.  The following are examples of binary variables: having or nor
having a myocardial infarction (heart attack),  living or dying, being
exposed or nor exposed to a risk factor, smoking or not smoking, obese or not
obese, taking or not taking a medication, etc.  When a binary variable is
predicted from one or more variables, linear regression is not
appropriate.  Instead, logistic regression is employed.  Other types
of regression can also be used, such as Cox regression when time to event is
also modeled, or Poisson regression for frequency outcomes, but logistic regression
is one of the most widely used and can serve as a model for understanding 
the prediction of discrete outcomes.  For this discussion you are asked to
search the Ashford University Library for a scholarly, peer-reviewed journal
article describing a study that utilized logistic regression.  Share with
your peers the study design, the participants and the research
question/s.  What descriptive analyses were performed and what did they
reveal?  What was the dependent variable?  What were the independent
variables?  What were the main results and the main conclusions? 
What implications do the results have and what directions do you see for
further research?  Cite your study using APA format as outlined in the
Ashford Writing Center. 

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