Search results with tag "Hosmer"
Measures of Fit for Logistic Regression - Statistical Horizons
statisticalhorizons.comPearson chi-square Hosmer-Lemeshow. Predictive power and GOF are very different things A model can have very high R-square, yet GOF is terrible. ... Hosmer and Lemeshow Goodness-of-Fit Test. Chi-Square. DF: Pr > ChiSq. 15.6061 . 8 . 0.0484 : 16 Problems with Hosmer-Lemeshow 1. Can be highly sensitive to number of groups, which is arbitrary.
GLM Residuals and Diagnostics - MyWeb
myweb.uiowa.edudistribution as a rough goodness of t test However, this test does not actually work very well Several modi cations have been proposed, including an early test proposed by Hosmer and Lemeshow that remains popular and is available in SAS Other, better tests have been proposed as well (an extensive comparison was made by Hosmer et al. (1997))
estat gof — Pearson or Hosmer–Lemeshow goodness-of …
www.stata.comlogistic, logit, or probit and estat gof keep track of the estimation sample. If you type, for instance, logistic :::if x==1, then when you type estat gof, the statistics will be calculated on the x==1 subsample of the data automatically. You should specify if or in with estat gof only when you wish to calculate statistics for a set
Applied Logistic Regression
acctlib.ui.ac.id5.2 Summary Measures of Goodness of Fit, 154 5.2.1 Pearson Chi-Square Statistic, Deviance, and Sum-of-Squares, 155 5.2.2 The Hosmer–Lemeshow Tests, 157 5.2.3 Classification Tables, 169 5.2.4 Area Under the Receiver Operating Characteristic Curve, 173 5.2.5 Other Summary Measures, 182 5.3 Logistic Regression Diagnostics, 186