Journal of Quality and Reliability Engineering / 2008 / Article / Tab 1

Research Article

Sensitivity Analysis to Select the Most Influential Risk Factors in a Logistic Regression Model

Table 1

Estimated coefficients and standard errors for different variable selection methods.

MethodsMLEBest subset AICBest subset BICSCADLASSO SA
Factors

Intercept5.51 (0.75)4.81 (0.45)6.12 (0.57)6.09 (0.29)3.70 (0.25)Constant
8.8 (2.97) 6.49 (1.75) 12.15 (1.81) 12.2 (.08)0 (—)0.487 (0.536)
2.30 (2.00)0 (—)0 (—)0 (—)0 (—)0.014 (0.125)
2.77 (3.43)0 (—) 6.93 (0.79) 7.0 (0.21)0 (—)0.143 (0.218)
1.74 (1.41)0.30 (0.11) 0.29 (0.11)0 (—) 0.28 (0.09)0.003 (0.034)
0.75 (.61) 1.04 (0.54)0 (—)0 (—) 1.71 (0.24)0.013 (0.057)
2.7 (2.45) 4.55 (0.55)0 (—)0 (—) 2.67 (0.22)0.032 (0.091)
0.03 (0.34)0 (—)0 (—)0 (—)0 (—)0.014 (0.237)
7.46 (2.34)5.69 (1.29)9.83 (1.63)9.84 (0.14)0.36 (0.22)0.362 (0.502)
0.24 (0.32)0 (—)0 (—)0 (—)0 (—)0.001 (0.042)
2.15 (1.61)0 (—)0 (—)0 (—) 0.10 (0.10)0.016 (0.075)
0.12 (0.16)0 (—)0 (—)0 (—)0 (—)0.003 (0.047)
1.23 (1.21)0 (—)0 (—)0 (—)0 (—)0.019 (0.307)

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