Cancer is one of the most prevalent diseases in the United States and is diagnosed in over 1 million patients each year. Of the many types of cancer, the highest morbidity and mortality is associated with lung cancer. The leading cause of lung cancer can be attributed to cigarette smoking. Other types of environmental pollution, genetic diseases can also lead to lung cancer but smoking and victims of second hand smoke are at the highest risk.
The researcher set out to study the lung cancer mortality rates from an inpatient sample that came from Healthcare Cost and Utilization Project (HCUP) for the year 2006. The objective is to find out what state, demographic, and hospital related factors predict the likelihood of dying for lung cancer patients who were admitted into hospitals. The statistical analysis test that was chosen by the researcher was a logistic regression model using SPSS Version 17.
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 49/04M, Masters Abstracts International|
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