Cancer incidence estimation from mortality data: a validation study within a population-based cancer registry.

Daniel Redondo-SánchezMiguel Rodríguez BarrancoAlberto AmeijideFrancisco Javier AlonsoPablo Fernández-NavarroJose Juan Jiménez-MoleónMaría-José Sánchez

Published in: Population health metrics (2021)

A comparison with a historical time series of real data in a population-based cancer registry indicated that the IMR method is a valid tool for the estimation of cancer incidence. The goodness-of-fit indicator proposed can help select the best assumption for the IMR based on a statistical argument.

Keyphrases

papillary thyroid
squamous cell
risk factors
lymph node metastasis
cardiovascular disease
childhood cancer
machine learning
coronary artery disease
young adults
deep learning