What are the goals and purposes of the research study the article describes.
Review the three articles in this week’s Learning Resources and evaluate their use of logistic regression. Select one article that interests you to examine more closely in this Discussion

Logistic Regression in Nursing Practice

Logistic regression is used to analyze a wide variety of variables that may surround a singular outcome. For example, logistic regression could be used to identify the likelihood of a patient having a heart attack or stroke based on a variety of factors including age, sex, genetic characteristics, weight, and any preexisting health conditions. The biological systems and issues with which the health care field is concerned represent the kinds of applications for which logistic regression is especially useful.

Logistic regression is used in the health care field for many purposes, including diagnoses, predictions, and forecasting. The three articles in this week’s Learning Resources illustrate the many uses of logistic regression in the health care field. This Discussion allows you to explore the different uses of logistic regression and cultivate a deeper understanding of the application of logistic regression in evidence-based practice. Note: This Discussion takes place in small groups, which should have been assigned by your Instructor.

To prepare:

Review the three articles in this week’s Learning Resources and evaluate their use of logistic regression. Select one article that interests you to examine more closely in this Discussion

Critically analyze the article you selected considering the following questions:

What are the goals and purposes of the research study the article describes

How is logistic regression used in the study What are the results of its use

What other quantitative and statistical methods could be used to address the research issue discussed in the article

What are the strengths and weaknesses of the study

How could the weaknesses of the study be remedied

How could findings from this study contribute to evidence-based practice, the nursing profession, or society
Write a cohesive response answering the following questions:

In the first line of your posting, identify the article you examined, providing its correct APA citation.

Post your critical analysis of the article as outlined above.

Propose potential remedies to address the weaknesses of each study.

Analyze the importance of this study to evidence-based practice, the nursing profession, or society.
Readings

Course Text: The Practice of Nursing Research: Appraisal, Synthesis, and Generation of Evidence
Chapter 24, “Using Statistics to Predict”

This chapter asserts that predictive analyses are based on probability theory instead of decision theory. It also analyzes how variation plays a critical role in simple linear regression and multiple regression.
Course Text: Statistics and Data Analysis for Nursing Research
Chapter 9, “Correlation and Simple Regression” (pp. 208–222)

This section of Chapter 9 discusses the simple regression equation and outlines major components of regression, including errors of prediction, residuals, OLS regression, and ordinary least-square regression.
Chapter 10, “Multiple Regression”

Chapter 10 focuses on multiple regression as a statistical procedure and explains multivariate statistics and their relationship to multiple regression concepts, equations, and tests.
Chapter 12, “Logistic Regression”

This chapter provides an overview of logistic regression, which is a form of statistical analysis frequently used in nursing research.
Article: Hoerster, K. D., Mayer, J. A., Gabbard, S., Kronick, R. G., Roesch, S. C., Malcarne, V. L., & Zuniga, M. L. (2011). Impact of individual-, environmental-, and policy-level factors on health care utilization among US farmworkers. American Journal of Public Health, 101(4), 685–692. doi:10.2105/AJPH.2009.190892
Retrieved from the Walden Library databases.

This article discusses the results of a study of how many U.S. farmworkers accessed U.S. health care. The study considered this question on several levels—individual, environmental, and policy—and used logistic regression to analyze the multivariate data gathered.
Article: Tritica-Majnaric, L., Zekic-Susac, M., Sarlija, N., & Vitale, B. (2010). Prediction of influenza vaccination outcome by neural networks and logistic regression. Journal of Biomedical Informatics, 43(5), 774–781. doi:10.1016/j.jbi.2010.04.011
Retrieved from the Walden Library databases.

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