Challenges in conducting a multinomial logistic regression analysis on regional secondary data of the Flemish Colorectal Cancer Screening Program

Abstract: This case study will go into detail about the novel approach of population-based colorectal cancer (CRC) screening based on “personal” risk. While the screening finds a lot of precursor lesions and CRCs, the current approach also misses many of the precursor lesions (false negative) and detects many normal outcomes (false positive). This has a large economic impact which could be solved by a more sophisticated approach based on a risk stratification. We used a multinomial multivariate logistic regression model to predict the outcome of a normal result, precursor lesions, in situ, and... Mehr ...