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In a previous publication, we performed a sensitivity analysis to assess the effect of departures from the modeling assumptions on the effectiveness of early detection [ 10] and we concluded that the model was robust.
Also, the effect of departures from protocol on clinical trial results can easily be evaluated by the use of simulation.
The effect of departures from this assumption will be checked using sensitivity analyses.
Good sensitivity analyses directly explore the effect of departures from the assumption made in the main analysis.
We, therefore, will perform a second sensitivity analyses to explore the effect of departures (varied over a plausible range) from the assumption of missing at random made in the main analysis as recommended by White et al [ 68].
White et al. [ 4] suggest a four part strategy: 1) attempt to follow up all subjects; 2) carry out a primary analysis of all observed data that are valid under a plausible assumption; 3) perform sensitivity analyses to explore the effect of departures from the primary assumption; and 4) account for all randomized participants in at least one of the analyses.
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This chapter establishes a basis for examining both qualitatively and quantitatively the effect of departure from idealized flow behavior on the performance of a reactor.
The effect of departure from the spherical shape on fluid motion has been studied theoretically and experimentally by several authors [ 12– 16]; however, for the present purposes and for the sake of the simplicity, it is sufficient here to consider a spherical shape.
Though it is true that use of smaller numbers of controls runs the risk of violating the normality assumption, the effect of departure from normality is modest in case of the CH-test, as it is capable of controlling the Type I error rate [ 21, 22].
Since this and earlier studies [21] have indicated that Ricker-based coupled map lattices are good surrogates for Drosophila metapopulations, we used the same simulation framework described above to investigate the effects of departures from the experimental conditions.
Additional studies investigated the effects of departures from the modeling assumptions, including exponential terminal time and linear NPI implementation cost.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com