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The Hosmer–Lemeshow test is a statistical test for goodness of fit and calibration for logistic regression models. It is used frequently in risk prediction models. The test assesses whether or not the observed event rates match expected event rates in subgroups of the model population.
7.2.3 Hosmer–Lemeshow test. 7.3 Coefficient significance. ... For logistic regression, the measure of goodness-of-fit is the likelihood function L, or its logarithm
The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question.
One measure of goodness of fit is the coefficient of determination, often denoted, R 2. In ordinary least squares with an intercept, it ranges between 0 and 1. However, an R 2 close to 1 does not guarantee that the model fits the data well. For example, if the functional form of the model does not match the data, R 2 can be high despite a poor ...
Hosmer–Lemeshow test, a quality of fit statistic that can be used for binary data; Pearson's chi-squared test, an alternative quality of fit statistic for generalized linear models for count data; Peirce's criterion, a rule for eliminating outliers from data sets
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Minnesota coach P.J. Fleck was the recipient of this year's mayo bath after his team defeated Virginia Tech in the Duke's Mayo Bowl.
A group of 58 researchers is calling for a new, better way to measure obesity.. The global team’s recommendations were published in The Lancet Diabetes & Endocrinology on Jan. 14.