Multinomial logistic regression with missing outcome data: An application to cancer subtypes
Published 9 October 2020 Many diseases such as cancer and heart diseases are heterogeneous and it is of great interest to study the disease risk specific to the subtypes in relation to genetic and environmental risk factors. However, due to logistic and cost reasons, the subtype information for the disease is missing for some subjects. In this article, we investigate methods for multinomial logist
https://www.lupop.lu.se/article/multinomial-logistic-regression-missing-outcome-data-application-cancer-subtypes - 2025-02-25