Sentence examples for key trial parameters from inspiring English sources

Two independent reviewers (YL, BQ) will independently extract the key trial parameters using a standardised data abstraction form and assess the risk of bias.

ACTs are designed to take advantage of accumulating information by allowing key trial parameters to be modified in response to accumulating data according to predefined rules [ 4- 8].

Phase 2 then involves an exploratory RCT to test the intervention, examine delivery in routine settings, and provide estimates of key trial parameters such as recruitment rates and estimates of effectiveness, prior to a definitive trial.

As this was a pilot study, the statistical analyses were descriptive and were intended to provide only estimates of key trial parameters and to inform power calculations for a potential definitive trial.

This situation creates uncertainty as to the optimal parameters for the proposed trial, yet under the fixed approach to trial design and conduct, all key trial parameters must be defined before patient enrollment and then held constant [ 2].

Analyses conducted were mainly descriptive and focussed on confidence interval estimation, rather than hypothesis testing, to provide estimates of the key trial parameters to determine whether to proceed to a larger definitive RCT.

Trial parameters were set as follows.

Considering that only two of the early trials published up to 2008 reported key methodological parameters for randomised trials, 12 20 the discrepancy between the results of our previous analysis and this one should be undeniably attributed to the suboptimal quality of the early trials.

Using scientific knowledge derived from the literature and process knowledge gathered during development studies and manufacturing to support clinical trials, potential critical and key process parameters with a possible impact on product quality and process performance, respectively, were determined during a risk assessment exercise.

First, a multivariate sensitivity analysis was conducted using Monte Carlo simulations (n=100,000 trials) where all key parameters (D eff, c ART, c int, % of HIV-positive individuals with CD4>350 receiving the intervention, l ART, CD4 st ) were varied simultaneously.

The objective of stability analysis was to identify key parameters or key processes in sepsis episodes.