Logistic Regression Model: The Effect of Chemotherapy on 10 Year Survival for Women with Colon Cancer
Standing
Graduate (PhD)
Type of Proposal
Poster Presentation
Type of Proposal
Visual Presentation (Poster, Installation, Demonstration)
Challenges Theme
Building Viable, Healthy and Safe Communities
Your Location
Windsor
Faculty
Faculty of Arts, Humanities and Social Sciences
Faculty Sponsor
Dr. Jill Grant
Proposal
Colon cancer is a widespread form of treatable cancer common among many populations in the United States and Canada. In this particular logistic regression model, the database took place in California, United States and is part of a cancer registry-based colon cancer cohort which included 6300 people who resided in California between the years 1995 and 2000.
This data base was approved to be used for our quantitative data analysis course at the University of Windsor, School of Social Work, to students at the level of doctorate studies. This original logistic regression model will look at the effects of chemotherapy on ten year survival for women with colon cancer. This model will look at women in particular and if they are associated with shorter survival rates. The model also looks at age groups of women along with their stage of colon cancer. The model will finally test an interaction effect between being a black woman and poverty groups and also between the refusals of chemotherapy among black women with colon cancer. This secondary data analysis sample is restricted to 3012 participants which accounts for almost 92% of the women included in this sample. Results showed a strong relationship between chemotherapy treatment and 10 years survival of colon cancer. Women who received chemotherapy are almost ten times as likely to have a high survival rate for 10 years as those who did not receive chemotherapy treatment.
Benefits of early diagnoses, and the importance of chemotherapy care among different groups of poverty can negatively influence the survival time of women. Generalized findings towards bigger populations as the impact can apply to other minority groups in the United States and Canada.
Location
Windsor
Grand Challenges
Viable, Healthy and Safe Communities
Logistic Regression Model: The Effect of Chemotherapy on 10 Year Survival for Women with Colon Cancer
Windsor
Colon cancer is a widespread form of treatable cancer common among many populations in the United States and Canada. In this particular logistic regression model, the database took place in California, United States and is part of a cancer registry-based colon cancer cohort which included 6300 people who resided in California between the years 1995 and 2000.
This data base was approved to be used for our quantitative data analysis course at the University of Windsor, School of Social Work, to students at the level of doctorate studies. This original logistic regression model will look at the effects of chemotherapy on ten year survival for women with colon cancer. This model will look at women in particular and if they are associated with shorter survival rates. The model also looks at age groups of women along with their stage of colon cancer. The model will finally test an interaction effect between being a black woman and poverty groups and also between the refusals of chemotherapy among black women with colon cancer. This secondary data analysis sample is restricted to 3012 participants which accounts for almost 92% of the women included in this sample. Results showed a strong relationship between chemotherapy treatment and 10 years survival of colon cancer. Women who received chemotherapy are almost ten times as likely to have a high survival rate for 10 years as those who did not receive chemotherapy treatment.
Benefits of early diagnoses, and the importance of chemotherapy care among different groups of poverty can negatively influence the survival time of women. Generalized findings towards bigger populations as the impact can apply to other minority groups in the United States and Canada.