Date of Award
2017
Document Type
Open Access Thesis
Department
Statistics
Sub-Department
The Norman J. Arnold School of Public Health
First Advisor
Marco Geraci
Abstract
The aim of this thesis is to study seasonality of death in U.S. infants who died from SIDS. We also propose to investigate secular trends and geographical patterns of seasonal patterns of mortality. The application of circular statistics is used to describe the seasonality of the month of death in infants who died from SIDS in 1990, 2000 and 2010. The secular trends of seasonal patterns of SIDS mortality are investigated using a circular linear regression model after adjusting for potential confounders. The geographical variation in seasonal patterns of SIDS mortality is explored from the U.S. map and quantified by using Moran’s I auto correlation. We conclude insignificant correlation between geographical region and the mean direction of month of death in infants who died from SIDS and/or the residuals
Rights
© 2017, Xinyan Cai
Recommended Citation
Cai, X.(2017). Longitudinal And Geographical Modeling Of Circular Data With An Application To Sudden Infant Death Syndrome. (Master's thesis). Retrieved from https://scholarcommons.sc.edu/etd/4084