Predicting Colorectal Cancer Screening Outcomes: an Application of Advanced Ordered Outcome Models and Machine Learning

Additional Metadata
Keywords	colorectal cancer; screening; ordinal models; continuation ratio model; generalised ordered logit; finite mixture models; machine learning; risk stratification
Thesis Advisor	O'Neill, E.P.
Persistent URL	hdl.handle.net/2105/59387
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Mulder, D.T. (2021, November). Predicting Colorectal Cancer Screening Outcomes: an Application of Advanced Ordered Outcome Models and Machine Learning. Econometrie. Retrieved from http://hdl.handle.net/2105/59387

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