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. 2016 Jan-Mar;62(1):26–31. doi: 10.4103/0022-3859.173193

Table 3.

Results of analysis of hiccups data by maximum likelihood and penalized maximum likelihood logistic regression methods

Variable Ordinary logistic regression Penalized logistic regression


beta SE P value OR 95% CI of OR beta SE P value OR 95% CI* of OR
Intercept −14.15 377.90 0.9701 47287.44 −3.08 2.09 0.1412 0.05 (0.00, 1.30)
Hyponatremia: Yes 2.38 0.82 0.0036 10.76 (2.17, 53.41) 2.06 0.75 0.0057 7.88 (2.06, 38.86)
Gender: Male 12.86 377.90 0.9729 >999.999 (<0.001, >999.999) 1.68 1.82 0.3561 5.35 (0.42, 816.48)
Renal disease: Present 0.06 0.79 0.9346 1.07 (0.23, 5.02 0.16 0.75 0.8309 1.17 (0.25, 4.81)
Age (years) −0.03 0.03 0.3481 0.97 (0.91, 1.03) −0.02 0.03 0.4856 0.98 (0.92, 1.03)
Creatine (mg/dL) 0.96 0.44 0.0301 2.62 (1.10, 6.27) 0.77 0.39 0.0493 2.16 (1.16, 5.58)
AIC 80.82 70.02
−2 Log L 68.82 58.02

SE – Standard error; OR – Odds ratio; CI – Confidence interval; *Profile penalized likelihood-based CI