We will
assess the robustness of findings to decisions made in obtaining them by conducting sensitivity analyses.
They assess robustness across different sample subperiods, past volatility measurement intervals and portfolio holding intervals.
To
assess the robustness of the results of our regression analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.
Two pre-specified sensitivity analyses were performed to
assess the robustness of the results.
Therefore,
we assessed the robustness of our meta - analysis by re-running the analysis multiple times with data subsets consisting of one randomly selected result per article (Hollander 2008).
Not exact matches
In addition, improved market transparency and monitoring - for example, via more detailed disclosures of market - maker inventories and risk - taking - could help market participants better understand which market segments or trades are likely to be crowded.12 In addition, policymakers may want to
assess how the combined impact of regulations and other policy initiatives affect market - making and overall market
robustness.
Researchers have been doing a systematic review of trials and
assessed them for their statistical
robustness.
However the technical details of the experiments are important to share with other experts in the field so that the
robustness of the findings and implications of the data can be truly
assessed, and so that this new information can be used to move the state of the art forwards.
The renowned list was created after
assessing major aspects of LMS including
robustness, flexibility, and personalization.
External advice should be used, where possible, to
assess the quality and standards of a school's system and to assure staff of its fairness and governors of its
robustness.
Assessing the role of uncertain precipitation estimates on the
robustness of hydrological model parameters under highly variable climate conditions.
Expand the use of eddy - resolving models, particularly in regional / process studies designed to: i) test the
robustness of AMOC variability mechanisms identified in coarser GCMs or idealized models; ii) address the origins of persistent model bias in the North Atlantic region (e.g., Gulf Stream separation and the North Atlantic Current path); and iii)
assess the role of ocean turbulence in AMOC variability.
In this way, the
robustness of the results to relatively arbitrary choices can be
assessed.
The recent announcement by Ian Paisley that he was resigning his dual leadership roles, as First Minister of the Northern Ireland Executive and as Democratic Unionist Party (DUP) leader, almost a year after the restoration of a devolved power - sharing Assembly based in Stormont, Belfast, is perhaps an apposite time to
assess the successes of the latest (hopefully permanent) attempt at devolving law - making powers to a region in the UK, and also to evaluate the
robustness of institutionalised power - sharing as it meets the myriad challenges confronting the fledgling Assembly.
Accordingly,
assessing and determining the
robustness and legal validity of the Privacy Shield is a business and political necessity.»