Sentence examples for many sensitivity analyses from inspiring English sources

Q: How many sensitivity analyses can one perform for a single primary analysis?

Many sensitivity analyses gave the same findings, including per-protocol analyses that are preferred by some authorities for noninferiority studies (24).

Understanding the nature of the data, and having some content expertise are useful in determining which and how many sensitivity analyses to perform.

In summary, pooling observations from clinical trials occurring over a 15-year period we computed the cumulative PA resistance rate to imipenem to be in the range of 50%, persisting in many sensitivity analyses.

This seemed the most interesting of the many possible sensitivity analyses to undertake from a policy perspective, given it indicates the subgroup's trade-offs of harms with what is conventionally seen as the main potential benefit (Loss of Lifetime).

Results of the probabilistic sensitivity analysis indicated that asenapine remains a dominant strategy in 99.2% of the simulations, in both a MoH and a societal perspective, and this result is robust to the many deterministic sensitivity analyses performed.

We opted for the Morris global method, which evaluates parameter sensitivity over a range of physiological scenarios by taking the mean of many local sensitivity analyses calculated over the entire parameter space, thus accounting for interactions (McNally et al. 2011).

These articles usually provided detail on the rationale for the cost-effectiveness analysis and methods used, and many reported on sensitivity analyses that had been undertaken to explore uncertainty around the cost-effectiveness ratio.

To address the uncertainty aspect of the cost per R0 metastases resections, we performed a many-inputs/one-output sensitivity analyses, with results expressed in a Tornado chart.

Many assessments are typically sensitivity analyses and do not consider the combined impact of exposure, sensitivity and adaptive capacity on vulnerability.

The major strength of this study was its large sample size, which allowed adjustment for many covariates and numerous sensitivity analyses, none of which affected the conclusions.