CSSS Seminar: Modeling Spatially Correlated Survival Data (11/16/22 @12:30pm)

Posted: 11/11/2022 (Demography News)

The Center for Statistics and the Social Sciences Seminar Series will be hosting Prince Allotey, University of Washington Professor of Statistics, who will give a seminar titled, “Modeling Spatially Correlated Survival Data and their Applications.” The seminar will occur on On Wednesday, November 16 at 12:30 pm, and will be offered as a Hybrid session. Below please find the abstract and information about joining in-person or on Zoom.

 

Abstract:

When survival times are spatially referenced, some evidence of clustering of high or low times might be apparent on a visual inspection of the data. The question naturally arises as to whether these observed spatial survival patterns can be explained by incorporating appropriate covariates into the model or whether to obtain reliable inferences for model parameters of interest, it is necessary to explicitly model the unexplained spatial variation. In this talk, we consider different random effects regression models for spatially correlated survival data. In these models, the large-scale variations are characterized by a linear function of explanatory variables and small-scale variations are characterized by spatial processes. We compare these different approaches in the context of a dataset on COVID-19 mortality data.  The main objective is to explain the pattern of COVID-19 mortality using important covariates while accounting for possible (spatially correlated) differences in hazard among the districts.

 

This seminar will be located at 409 Savery Hall

 

To join by Zoom, please use the information below.

 

Join Zoom Meeting

https://washington.zoom.us/j/91889204671 

Date: 11/16/2022

Location: Savery 409 or Zoom here