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Table 4 Result of best subset for standard logistic and Cox regressions

From: Practical application of cure mixture model for long-term censored survivor data from a withdrawal clinical trial of patients with major depressive disorder

   

95% CI

 

Standard logistic regression

Estimates

SE

Lower

Upper

p-value

Intercept

2.865

0.848

1.203

4.527

0.0007

Treatment

1.021

0.421

0.196

1.846

0.0153

Baseline HAM-D score at DP

-0.107

0.066

-0.236

0.222

0.1036

Gender

-1.737

0.563

-2.841

-0.633

0.0021

The number of episodes

0.133

0.114

-0.091

0.357

0.2443

Complication

0.585

0.407

-0.213

1.384

0.1507

Maximum log-likelihood

-81.868

    

AIC

177.736

    
   

95% CI

 

Standard Cox regression

Estimates

SE

Lower

Upper

p-value

Treatment

-0.913

0.379

-1.655

-0.171

0.0159

Gender

1.511

0.534

0.465

2.557

0.0046

The number of episodes

-0.131

0.109

-0.345

0.083

0.2296

Maximum log-likelihood*

-183.520

    

AIC

373.040

    
  1. * maximum full log-likelihood