Table 3.
The output of the Laupacis et al’s NNT estimators for a simulated ‘panss_survival.csv’ dataset
| NNT | CI TR L | CI TR U | CI DL L | CI DL U | CI NBS L | CI NBS U | CI PBS L | CI PBS U | |
| NNT-KM(7) | 4.05 | 2.32 | 15.89 | 1.03 | 7.07 | 2.93 | 6.80 | NA | NA |
| NNT-COX(7) | 4.21 | 1.84 | Inf | 1.00 | 9.63 | 3.49 | 5.41 | 3.44 | 4.98 |
| NNT(7|80) | 8.75 | 1.00 | Inf | 1.00 | 187.64 | 6.57 | 13.45 | 6.51 | 10.99 |
NNT: point estimate of the NNT.
The output of the Laupacis et al’s NNT estimates for a simulated ‘panss_survival.csv’ dataset. The chosen fixed timepoint for adjustment is seven (ie, 7 months after the treatment admission), and the adjusted value of the baseline PANSS is 80. The table presents the point estimates of the unadjusted Kaplan-Meier NNT (NNT-KM(7)), marginal Cox NNT (NNT-COX(7)) and adjusted (NNT(7|80)) Laupacis et al’s NNT for a survival time until the discontinuation of the treatment. Additionally, the table presents the corresponding transformation-based (TR), delta-method-based (DL), non-parametric-bootstrap-based (NBS) and parametric-bootstrap-based (PBS) 95% CIs. Inf, infinity. For the unadjusted NNT point estimator, the PBS-based CI limits are not available (NA) since the NNT-KM is a non-parametric estimator.
CI DL L, the lower limit of the 95% level delta-method-based CI; CI DL U, the upper limit of the 95% level delta-method-based CI; CI NBS L, the lower limit of the 95% level non-parametric-bootstrap-based CI; CI NBS U, the upper limit of the 95% level non-parametric-bootstrap-based CI; CI PBS L, lower limit of the 95% level parametric-bootstrap-based CI; CI PBS U, the upper limit of the 95% level parametric-bootstrap-based CI; CI TR L, the lower limit of the 95% level transformation-based CI; CI TR U, the upper limit of the 95% level transformation-based CI; Inf, Infinity; NA, Not available; NNT, number needed to treat; NNT(7|80), Cox regression-based estimator of the adjusted NNT for timepoint 7 and covariate value of 80; NNT-COX(7), Cox regression-based estimator of the marginal NNT for timepoint 7; NNT-KM(7), the Kaplan-Meier-based non-parametric maximum likelihood estimator of the unadjusted NNT for timepoint 7; PANSS, Positive and Negative Syndrome Scale.