Parameter estimates are numerical values that summarize characteristics of a statistical model, representing the relationship between the independent and dependent variables. In generalized linear models, like logistic regression, these estimates help interpret how changes in predictors influence the outcome variable, allowing researchers to understand and predict trends in data effectively.
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