Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors

@article{Xie2008IncreasingTP,
  title={Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors},
  author={Xian-Jin Xie and Jane Pendergast and William Clarke},
  journal={Comput. Stat. Data Anal.},
  year={2008},
  volume={52},
  pages={2703-2713}
}
  • Xian-Jin Xie, Jane Pendergast, William Clarke
  • Published in Comput. Stat. Data Anal. 2008
  • Computer Science, Mathematics
  • When continuous predictors are present, classical Pearson and deviance goodness-of-fit tests to assess logistic model fit break down. The Hosmer-Lemeshow test can be used in these situations. While simple to perform and widely used, it does not have desirable power in many cases and provides no further information on the source of any detectable lack of fit. Tsiatis proposed a score statistic to test for covariate regional effects. While conceptually elegant, its lack of a general rule for how… CONTINUE READING

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