Dale L. Zimmerman

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BACKGROUND The assignment of a point-level geocode to subjects' residences is an important data assimilation component of many geographic public health studies. Often, these assignments are made by a method known as automated geocoding, which attempts to match each subject's address to an address-ranged street segment georeferenced within a streetline(More)
BACKGROUND This research develops methods for determining the effect of geocoding quality on relationships between environmental exposures and health. The likelihood of detecting an existing relationship - statistical power - between measures of environmental exposures and health depends not only on the strength of the relationship but also on the level of(More)
(ASPH); its contents are the responsibility of the authors and do not necessarily reflect the official views of the CDC or ASPH. Abstract The availability of individual-level health data presents opportunities for monitoring the distribution and spread of emergent, acute, and chronic conditions, as well as challenges with respect to maintaining the(More)
Geocoding a study population as completely as possible is an important data assimilation component of many spatial epidemiologic studies. Unfortunately, complete geocoding is rare in practice. The failure of a substantial proportion of study subjects' addresses to geocode has consequences for spatial analyses, some of which are not yet fully understood.(More)
its contents are the responsibility of the authors and do not necessarily reflect the official views of the CDC or ASPH. Abstract The accurate assignment of geocodes to the residences of subjects in a study population is an important component of the data acquisition/assimilation stage of a spatial epidemiological investigation. Unfortunately, however, it(More)
Agreement #S-3111 between the Centers for Disease Control and Prevention (CDC) and the Association of Schools of Public Health (ASPH); its contents are the responsibility of the author and do not necessarily reflect the official views of the CDC or ASPH. Helpful discussions with Gerard Rushton and Joseph Lang are gratefully acknowledged. Abstract The(More)
BACKGROUND Automated geocoding of patient addresses for the purpose of conducting spatial epidemiologic studies results in positional errors. It is well documented that errors tend to be larger in rural areas than in cities, but possible effects of local characteristics of the street network, such as street intersection density and street length, on errors(More)
To my family ii ACKNOWLEDGEMENTS I would like to express my sincere appreciation and thanks to my advisor Professor Dale Zimmerman for his excellent guidance, constructive suggestions, and contributions of time. Numerous discussions with him have provided me a great inspiration and encouragement on my research. I would also like to thank all the other(More)
1 ABSTRACT Zero-inflated data abound in ecological studies as well as in other scientific and quantitative fields. Nonparametric regression with zero-inflated response may be studied via the zero-inflated generalized additive model (ZIGAM). ZIGAM assumes that the conditional distribution of the response variable belongs to the zero-inflated 1-parameter(More)