Modelling spatially correlated survival data for individuals with multiple cancers
Modelling spatially correlated survival data for individuals with multiple cancers
Epidemiologists and biostatisticians investigating spatial variation in diseases are often interested in estimating spatial effects in survival data, where patients are monitored until their time to failure (for example, death, relapse). Spatial variation in survival patterns often reveals underlying lurking factors, which, in turn, assist public health professionals in their …