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For those returning to work, another equation models the hazard of ending this particular employment spell.
In unadjusted Cox models, the hazard ratio (HR) (95% CI) of joint failure for type 2 diabetes was 3.8 (2.1 6.8) (P < 0.001) (Table 2).
In the models, the hazard of death during 4 years of follow-up was a function of BMI and a set of covariates.
When influenza infection was included as a time varying covariate in the models, the hazard ratio did not change for any of the three outcomes (table 3).
With these models the hazard ratio is not assumed to be constant over time, thereby reducing the possibility of violating transitivity in indirect comparisons.
1) For some prediction models, the hazard ratio from fitting a Cox proportional hazards model was significant, but the two-group comparison was insignificant, and vice versa.
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Based on the model, the hazard rate of the dominant technology is estimated by using patent data.
Modelling the hazard rate identified the duration dependence of the process of allocating time to travel.
An Anderson-Gill counting process approach was used to model the "hazard" of patients being identified as having AD in Medicare claims data.
As it is not based on lava flow modelling, the hazard layer ignores effects of lava flow/water interactions, lava flow rheology, and finer scale topographic influences.
In the Exponential model, the hazard is assumed to be constant over time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com