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Regression Analysis of Count Data A. Colin Cameron
Publisher: Cambridge University Press

Multiple regression with ANOVA and ANCOVA models. Coli/ coliforms) and Logistic regression analysis showed that E. Regression analysis of count data. Coli concentration can predict the probability of enumerating selected Salmonella levels. Aerobic plate counts and most probable numbers (MPN) for Salmonella, E. Binary and multinomial response models. Weather data were obtained from nearby weather stations. Count data are common in health services and implementation research, and statistical models to account for distributional characteristics of such data were addressed in our regression analyses that used the Poisson distribution [42-44]. Coli, and coliforms were performed. Poisson, negative binomial, and other regression models for event-count data. Weak linear relationships existed between biological indicators (E. Cambridge, United Kingdom: Cambridge University Press.