Journal of Cancer Clinical Research

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Journal of Cancer Clinical Research 44 7897 074717

Cancer New Findings Journals

The purpose of this work is to model the connection between smoking-related variables and therefore the risk of carcinoma by using parametric and non-parametric models. A hospital-based case–control study was conducted to determine the influence of smoking on risk of carcinoma . We used parametric logistic regression with a series of categorized independent variables and non-parametric logistic regression models. Such models leave variables to be treated as continuous, since they avoid arbitrariness within the selection of cut-offs and furnish information on the dose–risk relationship. The results point to the possible existence of a saturation effect for a lifetime tobacco consumption of around 25 000–30 000 packets. Duration of habit and years of abstinence show a linear relationship marked by opposite, though similar, slopes, which might seem to point that for each year of smoking, risk rises by an amount (8.00%, 95% confidence interval (CI) 5.94–10.06) adequate to the decline in risk for each year of abstinence (6.98%, 95% CI 2.53–11.84). Lastly, a lower age of smoking initiation appears to possess an influence, although non-significant, on the looks of the disease

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