Table 7.
Cox-regression model using backward selection method with cure after treatment as the outcome variable and a set of predictors (gender, disease severity, effect of intervention, age, Timing of treatment inception referring to disease symptoms and count of comorbid conditions).
Predictors | Adjusted HR | P |
---|---|---|
Intervention (Add on Niclosamide) compared to control (standard treatment) | 1.60 | 0.007 |
Count of comorbid conditions | <0.001 | |
Only one Comorbid condition compared to none | 0.73 | 0.15[NS] |
Two or more Comorbid conditions compared to none | 0.33 | <0.001 |
P (Model)<0.001, NS, not significant.