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Table 4 Bisection procedure to determine conditional log-hazard ratio for treatment in a Cox proportional hazards model to produce a time-to-event outcome with a given marginal hazard ratio for treatment (target marginal hazard ratio for treatment: 0.80)

From: The iterative bisection procedure: a useful tool for determining parameter values in data-generating processes in Monte Carlo simulations

Iteration

Target marginal hazard ratio

\(\gamma_{{}}^{{{\text{midpoint}}}} \,\)

Empirical marginal hazard ratio \({\text{(HR}}_{{{\text{marginal}}}}^{{\gamma_{{}}^{{{\text{midpoint}}}} }} )\)

1

0.8

0

0.000354

2

0.8

5

2.203321

3

0.8

2.5

1.561186

4

0.8

1.25

1.114086

5

0.8

0.625

0.796174

6

0.8

0.9375

0.969266

7

0.8

0.78125

0.887425

8

0.8

0.703125

0.843299

9

0.8

0.664063

0.820148

10

0.8

0.644531

0.808168

11

0.8

0.634766

0.802396

12

0.8

0.629883

0.799151