Bayesian hierarchical finite mixture of regression for histopathological imagingâbased cancer data analysis
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9309
Abstract: Cancer is heterogeneous, and for seemingly similar cancer patients, the associations between an outcome/phenotype and covariates can be different. To describe such differences, finite mixture of regression (FMR) and other modeling techniques have been developed.… read more here.
Keywords: finite mixture; analysis; histopathological imaging; cancer ... See more keywords
Bayesian finite mixture of regression analysis for cancer based on histopathological imaging-environment interactions.
Sign Up to like & getrecommendations! Published in 2023 at "Biostatistics"
DOI: 10.1093/biostatistics/kxab038
Abstract: Cancer is a heterogeneous disease. Finite mixture of regression (FMR)-as an important heterogeneity analysis technique when an outcome variable is present-has been extensively employed in cancer research, revealing important differences in the associations between a… read more here.
Keywords: finite mixture; mixture regression; histopathological imaging; analysis ... See more keywords
Histopathological ImagingâEnvironment Interactions in Cancer Modeling
Sign Up to like & getrecommendations! Published in 2019 at "Cancers"
DOI: 10.3390/cancers11040579
Abstract: Histopathological imaging has been routinely conducted in cancer diagnosis and recently used for modeling other cancer outcomes/phenotypes such as prognosis. Clinical/environmental factors have long been extensively used in cancer modeling. However, there is still a… read more here.
Keywords: clinical environmental; cancer modeling; histopathological imaging; cancer ... See more keywords