Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5760514 | Mathematical Biosciences | 2017 | 11 Pages |
Abstract
A Monte-Carlo simulation approach using local cohort data combined with objective patient selection criteria can yield better design of ventilation studies to desired power and significance, with fewer patients per arm than traditional trial design methods, which in turn reduces patient risk. Outcome metrics, such as VFD, should be used when a difference in mortality is also expected between the two cohorts. Finally, the non-parametric approach taken is readily generalisable to a range of trial types where outcome data is similarly skewed.
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Authors
S.E. Morton, Y.S. Chiew, C. Pretty, E. Moltchanova, C. Scarrott, D. Redmond, G.M. Shaw, J.G. Chase,