Navidi, William CyrusMoxcey, Karen2007-01-032022-02-092007-01-032022-02-0920142014https://hdl.handle.net/11124/106312014 Fall.Includes bibliographical references (page 33).This study uses statistical modeling to examine whether particulate matter pollution is related to premature or low weight births using birth certificate and particulate matter measurements taken over three years in the Denver area. Generalized linear models were used to test for these relationships. A variety of simulations were run to examine the accuracy of various types of models in this situation.born digitalmasters thesesengCopyright of the original work is retained by the author.low birth weightgeneralized linear modelsparticulate matterpollutionpremature birthsLinear models (Statistics)Statistical methodsAir -- Pollution -- MeasurementBirth weight, LowPremature infantsBinomial distributionText