Additive and Multiplicative Hazards Modeling for Recurrent Event Data Analysis
Author Information
Author(s): Lim Hyun J, Zhang Xu
Primary Institution: University of Saskatchewan
Hypothesis
How do additive and multiplicative hazards models compare in analyzing recurrent event durations?
Conclusion
Both additive and multiplicative hazards models provide complementary information for analyzing recurrent event durations in clinical studies.
Supporting Evidence
- The study analyzed data from 511 pediatric firearm victims.
- 263 subjects (51.5%) had at least one ED revisit during the follow-up period.
- The results showed that gender, race/ethnicity, and age significantly impacted ED revisits.
Takeaway
This study looks at how two different methods can help understand when kids hurt themselves and need to go back to the hospital.
Methodology
The study used emergency department visit data to compare additive and multiplicative hazards models for recurrent event durations.
Potential Biases
Potential biases may arise from the retrospective nature of the study and the reliance on medical records.
Limitations
The study focused on a specific population of pediatric firearm victims, which may limit generalizability.
Participant Demographics
The study included pediatric firearm victims under 19 years old, with a median follow-up time of 3.2 years.
Statistical Information
P-Value
<0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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