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(This article was first published on SAS and R, and kindly contributed to R-bloggers)

The Hosmer and Lemeshow goodness of fit (GOF) test is a way to assess whether there is evidence for lack of fit in a logistic regression model. Simply put, the test compares the expected and observed number of events in bins defined by the predicted probability of the outcome. This can be calculated in R and SAS.RIn R, we write a simple function to calculate the statistic and a p-value, based

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