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. Author manuscript; available in PMC: 2013 Dec 13.
Published in final edited form as: Bull Math Biol. 2010 Jun 9;73(5):10.1007/s11538-010-9553-0. doi: 10.1007/s11538-010-9553-0

Table 6.

Results of LHS sensitivity analysis of the parameters in Table 5. For each strategic treatment interruption (abbreviated as STI above) plan, 500 simulations are performed in which every parameter is randomly varied over the ranges given in Table 5. We report the fraction of LHS samples that result in a successful treatment. A success is defined as a simulation in which the total cancer population falls below 10−10k/μL

Treatment plan: STI days Fraction of successful treatments Treatment plan: plan: STI days Fraction of successful treatments
90 ≤ t ≤ 105 0.488 120 ≤ t ≤ 135 0.544
150 ≤ t ≤ 165 0.568 180 ≤ t ≤ 195 0.450
210 ≤ t ≤ 225 0.544 240 ≤ t ≤ 255 0.546
270 ≤ t ≤ 285 0.468 300 ≤ t ≤ 315 0.650
330 ≤ t ≤ 345 0.512 360 ≤ t ≤ 375 0.486
390 ≤ t ≤ 405 0.474 90 ≤ t ≤ 120 0.434
120 ≤ t ≤ 150 0.458 150 ≤ t ≤ 180 0.480
180 ≤ t ≤ 210 0.516 210 ≤ t ≤ 240 0.542
240 ≤ t ≤ 270 0.566 270 ≤ t ≤ 300 0.588
300 ≤ t ≤ 330 0.624 330 ≤ t ≤ 360 0.578
360 ≤ t ≤ 390 0.550 390 ≤ t ≤ 420 0.542
90 ≤ t ≤ 135 0.450 150 ≤ t ≤ 195 0.524
210 ≤ t ≤ 255 0.578 270 ≤ t ≤ 315 0.624
330 ≤ t ≤ 375 0.528 390 ≤ t ≤ 435 0.536
450 ≤ t ≤ 495 0.530 510 ≤ t ≤ 555 0.544
570 ≤ t ≤ 615 0.528 630 ≤ t ≤ 675 0.526
690 ≤ t ≤ 735 0.518 750 ≤ t ≤ 795 0.494