Posts Tagged ‘ logistic regression ’

The 7-year question

April 6, 2012
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I have been at SAS for 7 years and up until 10 days ago, I had never been asked this question. Since then, I've been asked four times, so now must be the time to answer it! Question: Can we simply use a linear regression model to predict the response ...
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Example 9.14: confidence intervals for logistic regression models

November 15, 2011
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Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d...
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Example 9.14: confidence intervals for logistic regression models

November 15, 2011
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Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d...
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Example 9.14: confidence intervals for logistic regression models

November 15, 2011
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Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d...
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Example 8.15: Firth logistic regression

November 22, 2010
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In logistic regression, when the outcome has low (or high) prevalence, or when there are several interacted categorical predictors, it can happen that for some combination of the predictors, all the observations have the same event status. A similar e...
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Example 8.8: more Hosmer and Lemeshow

October 5, 2010
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This is a special R-only entry.In Example 8.7, we showed the Hosmer and Lemeshow goodness-of-fit test. Today we demonstrate more advanced computational approaches for the test.If you write a function for your own use, it hardly matters what it looks l...
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Example 8.7: Hosmer and Lemeshow goodness-of-fit

September 28, 2010
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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 p...
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