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Statistics Colloquium
November 4 (Fri) 11 a.m.
Alavi Commons Room, 6625 Everett Tower
Chenyang Shi
Department of Statistics
Western Michigan University
Abstract:Foster care youth is a medically vulnerable population. Poor dental health and irregular well-child visits may cause serious health-related issues, such as mental disorder, nutrition imbalance, tooth damage, etc. Michigan requires all youth in foster care to receive annual dental and well-child visits. Tracking the time between dental and well-child visits is important. We developed a longitudinal-spatial model that has the flexibility to accommodate delayed entry and exit times. We analyzed longitudinal data (2009-2012) on Michigan foster care youths from 10 years old to 19 years old, with county of residence information. The bivariate outcome variables were time between two consecutive dental and two consecutive well-child visits. Explanatory variables include gender, age, number of living placements, and type of living placements. The numbers of visits for each individual were characterized by Poisson distributions. The time intervals were modeled using conditional Weibull distribution. The intensity functions were modeled in terms of explanatory variables and multivariate latent spatial random processes that captured the county level spatial and cross-spatial dependencies. A data-augmentation Markov Chain Monte Carlo (MCMC) algorithm was developed for model fitting.
Bio:
Chenyang Shi is a doctoral student in the Department of Statistics at Western Michigan University.
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All statistics students are expected to attend.