0000000000358771
AUTHOR
J. Goungounga
showing 2 related works from this author
Correction de la mortalité attendue avec une fragilité individuelle pour une meilleure estimation de la survie nette et du délai de guérison à partir…
2021
Introduction Les modeles de guerison sont utilises dans les etudes de population pour estimer la survie nette et sa valeur asymptotique correspondant a la proportion de gueris. La survie nette est la survie que l’on observerait si la maladie etudiee (par exemple le cancer) etait la seule cause possible de deces. Son estimation suppose que la mortalite observee resulte de deux forces de mortalite : l’une due au cancer (mortalite en exces) et l’autre due aux autres causes de deces (mortalite attendue). Dans ce cadre populationnel, la mortalite attendue des patients est supposee egale a la mortalite observee des individus de memes caracteristiques de la population generale. Cependant, cette hy…
A new cure model accounting for extra non-cancer mortality: Validation and application to real data
2021
Introduction The proportion of cancer patients cured of the disease is estimated with standard cure models assuming they have the same risk of death as the general population [1] . These patients, however often maintain an extra risk of dying compared to the overall population, which we assume is due to other causes than cancer [2] . The aim of the work was to develop and validate an extended cure model incorporating the estimated patients’ relative risk of death from other causes (α) compared to that observed in the general population. Methods We extended the mixture cure model considering Weibull relative survival of the uncured by including a relative risk αwhich muliptlies the mortality…