Extended excess hazard models for spatially dependent survival data
AVR Amaral, FJ Rubio, M Quaresma… - … Methods in Medical …, 2024 - journals.sagepub.com
Relative survival represents the preferred framework for the analysis of population cancer
survival data. The aim is to model the survival probability associated with cancer in the …
survival data. The aim is to model the survival probability associated with cancer in the …
Statistical Modeling of Right-Censored Spatial Data Using Gaussian Random Fields
FZ Sainul Abdeen, A Adekpedjou, S Dabo Niang - Mathematics, 2024 - mdpi.com
Consider a fixed number of clustered areas identified by their geographical coordinates that
are monitored for the occurrences of an event such as a pandemic, epidemic, or migration …
are monitored for the occurrences of an event such as a pandemic, epidemic, or migration …
A Shared‐Frailty Spatial Scan Statistic Model for Time‐to‐Event Data
C Frévent, MS Ahmed, S Dabo‐Niang… - Biometrical …, 2024 - Wiley Online Library
Spatial scan statistics are well‐known methods widely used to detect spatial clusters of
events. Furthermore, several spatial scan statistics models have been applied to the spatial …
events. Furthermore, several spatial scan statistics models have been applied to the spatial …
Statistical Modeling of Right-Censored Spatial Data Using Gaussian Random Fields
FZS Abdeen, A Adekpedjou, SD Niang - Mathematics, 2024 - search.proquest.com
Consider a fixed number of clustered areas identified by their geographical coordinates that
are monitored for the occurrences of an event such as a pandemic, epidemic, or migration …
are monitored for the occurrences of an event such as a pandemic, epidemic, or migration …