Cox Proportional Hazards Regression Analysis
The Cox proportional hazards model is a form of survival analysis that allows you to evaluate the risk of disease during a given period of time. Traditionally, it was used to compare treatments for cancer based
on the length of time of remission following each treatment. Recently, its use has been expanded and it has gained popularity among researchers in public health. For this week’s Discussion, you will consider the
use of the Cox proportional hazards model in a peer-reviewed journal.
Articles: Choose one article from the following list of peer-reviewed journal articles that use Cox proportional hazards regression analysis as the primary methodology.
o Aliyu, M. H., Wilson, R. E., Zoorob, R. R., Chakrabarty, S. S., Alio, A. P., Kirby, R. S., & Salihu, H. M. (2008). Alcohol consumption during pregnancy and the risk of early stillbirth among singletons.
Alcohol, 42(5), 369–374. Retrieved from the Walden Library using the ScienceDirect database: http://www.sciencedirect.com.ezp.waldenulibrary.org/science/article/pii/S0741832908002139
o den Elzen, W. J., Willems, J. M., Westendorp, R. J., de Craen, A. M., Assendelft, W. J., & Gussekloo, J. (2009). Effect of anemia and comorbidity on functional status and mortality in old age: results from
the Leiden 85-plus Study. CMAJ: Canadian Medical Association Journal, 181(3/4), 151–157. Retrieved from the Walden Library using the ProQuest Central database:
http://ehis.ebscohost.com.ezp.waldenulibrary.org/eds/detail?vid=5&hid=5&sid=1ab7f345-96c8-4149-a9d1-0cd9b864760b%40sessionmgr11&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ
%3d%3d#db=a9h&AN=43395944
o Plitt, S., Mihalicz, D., Singh, A., Jayaraman, G., Houston, S., & Lee, B. (2009). Time to testing and accessing care among a population of newly diagnosed patients with HIV with a high proportion of
Canadian Aboriginals, 1998–2003. AIDS Patient Care & STDs, 23(2), 93–99. Retrieved from the Walden Library using the CINAHL Plus with Full Text database:
http://web.ebscohost.com.ezp.waldenulibrary.org/ehost/detail?sid=53b93a8f-96f7-4d7b-9243-5bffdb09254d
%40sessionmgr114&vid=1&hid=111&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#db=rzh&AN=2010209685
o Rehkopf, D., Berkman, L., Coull, B., & Krieger, N. (2008). The non-linear risk of mortality by income level in a healthy population: US National Health and Nutrition Examination Survey mortality follow-up
cohort, 1988-2001. BMC Public Health, 8, 383–393. Retrieved from the Walden Library using the Academic Search Complete database: http://web.ebscohost.com.ezp.waldenulibrary.org/ehost/detail?
sid=947c492b-f450-4a1f-a4d5-60b49694e0f1%40sessionmgr115&vid=1&hid=111&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#db=a9h&AN=51491788
o Soler-Vila, H., Kasl, S., & Jones, B. (2005). Cancer-specific beliefs and survival: a population-based study of African-American and White breast cancer patients. Cancer Causes & Control: CCC, 16(2),
105–114. Retrieved from the Walden Library using the ProQuest Central database: http://ehis.ebscohost.com.ezp.waldenulibrary.org/eds/detail?vid=3&hid=5&sid=1ab7f345-96c8-4149-a9d1-
0cd9b864760b%40sessionmgr11&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#db=mnh&AN=15868452
Then post a brief description of the article that includes the time-to-event variable evaluated and the independent variables that were included in the model. Then, explain what the authors concluded about the
relationship of the independent variables and the time-to-event variable (include discussion of the hazards ratio). Finally, explain why you think the researchers chose survival analysis to evaluate this
relationship.
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