Sentences with phrase «sensitivity analysis shows»

However, a simple sensitivity analysis shows that as mortgage rates rise, the benefits of reform decline.

Sensitivity analysis shows that different assumptions of climate sensitivity, carbon cycle model or scenario do not substantially change the outcome.

The answer is much the same, though IEA sensitivity analysis shows the economics of renewables is even more vulnerable.

«A simple carbon sensitivity analysis shows that oil majors pursuing volume at all costs can deliver lower shareholder value than a more disciplined approach.

Sensitivity analysis shows that future fire potential depends on many factors such as climate model and emission scenario used for climate change projection.

The sensitivity analysis showed our findings to be robust when we increased the denominator of the low risk group by 10 % (web appendix A) and when we excluded multiple gestations (web appendix B).

Sensitivity analyses show that the impact of cost is highly relevant in determining the likelihood that FLNP can be viewed as representing value for money.

Sensitivity analyses showed that one study in particular contributed to the high I2 value.49 When this study was removed from the analysis, I2 decreased from 81 to 46.

This could potentially affect the results; however, sensitivity analyses showed that removing these outcomes from the analyses did not substantially alter the results, therefore we kept the outcomes in the analyses.

Sensitivity analyses showed that the estimated cost per patient attending the ED was consistently lower in 2015 as compared with 2014, ranging from − # 60 to − # 107 (table 4).

Sensitivity analyses showed that all of the significant results for both physical and mental / developmental outcomes were lost once studies that were conducted in the East or that were categorised as being at high risk of bias, had been excluded, and at follow - up.

Post hoc sensitivity analyses showed that for the two trials with longer - term data, moderation effects disappeared at 4 or 12 months follow - up.

Not exact matches

Sensitivity analysis presented in the budget shows that the budget impact of a decline of 1 per cent of real GDP would be an increase in the deficit of about $ 5 billion per year.

Again, there was some evidence that the treatment effect may be partly due to bias; sensitivity analysis including only those studies assessed as being at low risk of bias for allocation concealment showed that results still favoured the intervention group although the treatment effect was less pronounced in the studies at lower risk of bias (Analysanalysis including only those studies assessed as being at low risk of bias for allocation concealment showed that results still favoured the intervention group although the treatment effect was less pronounced in the studies at lower risk of bias (AnalysisAnalysis 1.8).

Glioblastoma cells from patients that could be linked by the gene signature analysis with an immature origin generally showed a higher sensitivity to cancer drugs than glioblastoma cells that were associated with a more differentiated cell of origin.

While a meta - analysis by Brigo showed high sensitivity and specificity (above 80 %) in differentiating PD and VD using DaTscan, reliance on DaTscan alone may be misleading in certain cases.

Rather, their analysis shows that if you compare the LGM land cooling with the model land cooling, then the model that fits the land best has much higher GLOBAL climate sensitivity than you get for best fit if you use ocean data.

If they wanted us to understand whether their results are trustworthy, authors would present raw data, and then a sensitivity analysis that shows how introducing each covariate individually affects the results, then showing how including combinations of two covariates affects the results, and so forth.

In this explorative study, analysis was done according to the number of subjects showing an improvement of insulin sensitivity after treatment.

A new large uncertainty analysis that appeared this week in Nature shows that it is very difficult to get a climate sensitivity below 2 ºC in a climate model, no matter how one changes the parameters.

Instead, we did an extensive parallel set of sensitivity analyses using an EBM w / different estimates of the forcings, different climate sensitivities, etc. and showed that our key conclusions are quite robust.

This analysis also includes a sensitivity case showing the impact if the trajectory is assumed to be identical to the path shown in Appendix 1 to EPA's Goal Computation TSD.

Even if all past warming were attributed to CO2 (a heroic acertion in and of itself) the temperature increases we have seen in the past imply a climate sensitivity closer to 1 rather than 3 or 5 or even 10 (I show this analysis in more depth in this video).

The model behind the research is available for scientists and policymakers to design their own scenarios for bioenergy, conduct sensitivity analysis, and get immediate feedback showing the full dynamics, including both short and long run impacts.

The near - linear rate of anthropogenic warming (predominantly from anthropogenic greenhouse gases) is shown in sources such as: «Deducing Multidecadal Anthropogenic Global Warming Trends Using Multiple Regression Analysis» «The global warming hiatus — a natural product of interactions of a secular warming trend and a multi-decadal oscillation» «The Origin and Limits of the Near Proportionality between Climate Warming and Cumulative CO2 Emissions» «Sensitivity of climate to cumulative carbon emissions due to compensation of ocean heat and carbon uptake» «Return periods of global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean miSensitivity of climate to cumulative carbon emissions due to compensation of ocean heat and carbon uptake» «Return periods of global climate fluctuations and the pause» «Using data to attribute episodes of warming and cooling in instrumental records» «The proportionality of global warming to cumulative carbon emissions» «The sensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean misensitivity of the proportionality between temperature change and cumulative CO2 emissions to ocean mixing»

Have you charts showing sensitivity analyses of the effect of price changes on the energy line in Figure 3?

bender 203: Dessai, L and Hulme, Limited Sensitivity Analysis of Regional Climate Change Probabilities for the 21st Century shows regional skill scores are not consistent trends across regions, seasons, or variables (Figure 3).

As it turns out, however, we can push our analysis further and show that the lower end of the climate sensitivity distribution does not offer the comfort it implies at first glance.

Table 7 of the study (p. 46) captures the result of this sensitivity analysis and shows that the average environmental benefits of EVs are twice as good as for the Toyota Prius (the proxy for gasoline cars in this future - oriented sensitivity analysis).

The OMB guidance is that as a default an analysis should use a 7 percent discount rate as the base case, and to show the sensitivity of the results to the discount rate assumption, the analysis also should include the results of using a 3 percent discount rate.

The way he had done this was to perform a sensitivity analysis, showing that you still got a hockey stick without the Tiljander proxies.

If an analysis for before 1800 would show that such a self - sustained PCF according to the model also occurs when the climate sensitivity is 3 °C or 3.5 °C, this could define an upper limit for the climate sensitivity, for we know that in the past there was no such self - sustained PCF.

Several analyses of ring width and ring density chronologies, with otherwise well - established sensitivity to temperature, have shown that they do not emulate the general warming trend evident in instrumental temperature records over recent decades, although they do track the warming that occurred during the early part of the 20th century and they continue to maintain a good correlation with observed temperatures over the full instrumental period at the interannual time scale (Briffa et al., 2004; D'Arrigo, 2006).

What I see as a reoccurring situation in these analyses is that a more detailed look at the results with sensitivity testing or at least from a sensitivity viewpoint, can (too) often show problems with the authors» selection of methods or data used in their papers.

The meta - analyses showed the most pronounced effect sizes for parent — child interaction and maternal sensitivity, whereas the effects on child behaviour and cognitive development were either small or not significant; however, small effect sizes can have meaningful impact on population - level outcomes.60 The non-significant outcomes for internalising and externalising behaviours were also small, but may be clinically relevant for large, at - risk populations.

Sensitivity analyses did not indicate an association between low sleep efficiency and common childhood disorders such as asthma or ADHD or caffeine or tobacco use, nor were these variables confounders in the association between sleep efficiency and BP (data not shown).

The second analysis showed that where sex, age and social desirability accounted for very little of the variance, five of the seven personality factors were closely related to Excitement: those high on Sociability, Interpersonal Sensitivity and Ambition, but low on Prudence and Inquisitiveness where interested in Excitement.

Although this might be true for other intervention goals, such as helping high - risk mothers to cope with adversity or the daily hassles surrounding the birth of a child, the recent meta - analysis shows that for sensitivity and attachment, the most effective way is to provide attachment - based interventions in a modest number of sensitivity - focused sessions.

Recently, 88 interventions on maternal sensitivity and infant security in 70 studies were included in a thoroughly extended and updated quantitative meta - analysis.6 This meta - analysis showed that interventions that specifically focused on promoting sensitive parental behaviour appeared to be rather effective in changing insensitive parenting as well as infant attachment insecurity.

Nevertheless, a meta - analysis showed that interventions with a focus on sensitivity were successful in reducing or preventing attachment disorganization9 (see below), and we noted that the explanation for this finding might be that parents become more focused in the interaction with their child, and thereby less prone to dissociative processes in the presence of the child.

The results showed no significant difference between groups: maternal sensitivity (warm to cold)(MD -0.34; 95 % CI -1.07 to 0.40; Analysis 2.16.1)(I2 = 91 %); intrusive to non-intrusive (MD -0.10; 95 % CI -0.85 to 0.66; Analysis 2.17.1; I2 = 90 %); maternal remoteness (MD 0.08; 95 % CI -0.32 to 0.48; Analysis 2.18.1); infant interactions - infant attentive to inattentive (Analysis 2.19); infant lively to inert (Analysis 2.20); or infant happy to distressed sub - scales (Analysis 2.21).

Although no data are currently available on the effects of this intervention for child attachment, it is nonetheless the case that preliminary analyses show an improvement in the quality of parent - child interactions in terms of parental sensitivity, shared enjoyment and the children's increased ability to govern their emotions.

Psychometric analyses of the TPA have shown strong reliability, validity, and sensitivity to change during treatment.

These analyses also showed that specificity was consistently high, ranging from 80 % to 99 % whereas sensitivity varied from 24 % to 82 %.

We conducted a sensitivity analysis comparing the complete cases (listwise deletion), all of the available cases, and the imputed cases, but the results show no differences.