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Using survival analysis, we show that the higher numbers of amendments and claims and the higher share of X references are responsible for higher pendency times, since they significantly decrease hazard rates in the survival analysis.
Data are presented as risk per point decrease (hazard ratio and corresponding 95% confidence intervals); estimated by Cox regression analysis.
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When the flow size distribution belongs to the Decreasing Hazard Rate class, we propose the so-called Attained Service Potential Improvement index rule, which consists in giving priority to the flows with the highest ratio between the current attained-service-dependent completion probability and the expected potential improvement of this completion probability.
Scenario 1: Decreasing hazard.
Note that the log-logistic also accommodates decreasing hazard functions.
The legend shows sites in order of decreasing hazard.
Thus, we have a decreasing hazard rate when α<1 and an increasing hazard rate when α>1.
Starting with a daily travel time budget of 100 120 min, individuals have a decreasing hazard rate.
The legend shows sites in order of decreasing hazard at the 100 kg/m2 threshold.
The regression analysis of ICU mortality showed decreasing hazard of death with increasing comorbidity.
For individuals completing the corresponding travel duration, decreasing hazard would indicate a decreasing propensity or capacity to stop their travel.
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CEO of Professional Science Editing for Scientists @ prosciediting.com