The Threshold Bias Model for Analyzing Suicide Rates
Author Information
Author(s): Walter Sydney Dutra Folly
Primary Institution: Universidade Federal de Sergipe, Brazil
Hypothesis
Can the Threshold Bias Model effectively predict and analyze suicide rates across different countries?
Conclusion
The Threshold Bias Model shows potential for predicting and analyzing suicide rates based on historical data.
Supporting Evidence
- The model can predict the evolution of suicide rates based on past data.
- It was applied to analyze suicide rates in the USA, Brazil, and Sri Lanka.
- The model helps in understanding demographic trends in suicide.
Takeaway
This study created a math model to help understand and predict suicide rates by age, which can help researchers study suicide better.
Methodology
The model was tested using suicide data from the USA, Brazil, and Sri Lanka, applying a six-parameter distribution to analyze rates by age.
Potential Biases
Potential biases in data reporting and classification may affect the model's accuracy.
Limitations
The model's predictions may not be accurate for very advanced ages due to lack of statistical data.
Participant Demographics
Data included suicide rates from the USA, Brazil, and Sri Lanka, focusing on different age groups.
Statistical Information
Confidence Interval
95%
Digital Object Identifier (DOI)
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