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The results of this work highlight a general tendency for temporal stability of risk preferences in a longitudinal sense.
An important issue in the measurement of risk preferences concerns the stability of risk preferences over time.
Andersen et al. ([2008]) used field experiments to examine the temporal stability of risk preferences over a 17-month period among the Danish population and find that, while there is some variation in risk attitudes over time, there is no general tendency for risk attitudes to increase or decrease over a 17-month period.
In addition, the numbers of person-years and cases within each of the nine categories influences the stability of risk estimates.
Furthermore, due to the expected changes in lifestyle/risk status between groups of SES at some point in childhood or adolescence, it is appropriate to examine the stability of risk factors within different groups of SES.
In order to increase the stability of risk estimates, and to provide a better comparison between the two histological types, the matching was broken and analyses were performed using a single, pooled, group of controls.
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The equal-weight risk-score model provided similar between-cohort discrimination for the risk of candidemia and goodness of model fit, indicating the stability of our risk score.
Our study confirmed the stability of cardiometabolic risk factors across the puberty, though the magnitude of this stability differs substantially among the different variables.
Although a more homogenous study population improves performance and stability of a risk prediction model, this may also limit its general applicability.
The stability of PML risk estimates over time based on anti-JCV antibody index continues to be evaluated to confirm these results.
This includes threats to the stability of high-risk countries, increased migration, heightened political and economic tensions, adverse effects on food pricing and availability, a directly related rise in deaths from cardiovascular and respiratory disease as a result of extreme heat, as well as an expected increase in vector and water-borne diseases.
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CEO of Professional Science Editing for Scientists @ prosciediting.com