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. 2019 Jun 27;9(4):363–371. doi: 10.4103/jispcd.JISPCD_92_19

Table 10.

Multiple logistic regression model analysis for clinical grading with various factors

Clinical grading with various factors

Factors Model fitting criteria Likelihood ratio tests

−2 Log likelihood of reduced model Chi-square df Sig.
Gender 213.814 0.429 2 0.807
Age 215.211 1.827 8 0.986
Habit factor 222.176 8.791 8 0.360
Frequency 244.279 30.894 6 0.000
Duration 221.147 7.762 8 0.457
Contents 214.816 1.431 2 0.489
Chewing time 223.263 9.878 6 0.130

This reduced model is equivalent to the final model because omitting the effect does not increase the degrees of freedom. Unexpected singularities in the Hessian matrix are encountered