Oral Cancer, Socioeconomic Status, and Access to Health Care in BC
VANDIX scores of each DA within British Columbia
VANDIX scores of each DA within Metro Vancouver
X
Patient count summed within each DA in British Columbia
Patient count summed within each DA in Metro Vancouver
X
Correlation
to VANDIX
To evaluate the project phenomenon to socioeconomic status, our team explored the use of Ordinary Least Squares (OLS) linear regression. OLS linear regression is a common method of modeling a dependent variable in relation to a set of explanatory variables.
The injury data were once again acting as surrogate for oral cancer data. They were spatially joined to dissemination areas (DA) within the province resulting a sum of injury counts for each DA. The counts were used as the dependent variable and the VANDIX was used as the explanatory variable. The output of this tool generated statistics such as the p-value, the t-statistic and R squared (coefficient of determination) which could be used to assess the relationship of patient counts to SES.
VANDIX
Explanatory variable
Patient Count
Dependent variable
Click maps to enlarge
Click maps to enlarge
