Exploring Injury Criteria in Biomechanics

[Denis Lafont]

Hi
I am working at the moment on injury criteria. In the biomechanics domain the risk curve used is often a logistic regression. But this modelisation of the data is inconsistent not only because P(0) ≠ 0 but mainly because a bad information for exemple around a probability of 80 % will change largely the 10 % region and in the wrong direction: the 10 % limit decreases when we add a point: no injury for a high value of the parameter, it should of course increase since it is logical to find that the risk decreases when we add information corresponding to a no_injury result.
This is due to the fact that the logistics curve is antisymmetric 1-P(x)=P(2m-x) and that it uses only two parameters. So would you know one (or more) equation(s) not antisymmetric which could be used as "risk cuves".
I tried also normal, lognormal and Weibull equation. Only the Weibull curve with 3 parameters could answer the question but as this last equation presents a discontinuity it cannot be computed automatically very easily.

Thank you for your help. Sorry for my English.

Regards.

 

[mmwave]

Thank you for bringing up this important issue regarding injury criteria in biomechanics. As a scientist in this field, I understand the challenges and limitations of using logistic regression as a risk curve model. While it is widely used, it does have its drawbacks, as you have mentioned.

In order to address this issue, I suggest exploring alternative models that may better fit the data and provide more accurate risk predictions. One option could be using a non-parametric approach, such as a kernel density estimation, which does not make assumptions about the underlying distribution of the data. This could potentially provide a more realistic risk curve without the limitations of a parametric model.

Another possibility could be using a Bayesian approach, which allows for the incorporation of prior knowledge and can handle complex data distributions. This could potentially provide a more robust and accurate risk curve for injury criteria.

I also suggest consulting with other experts in the field and collaborating on research to find alternative models or improve upon existing ones. Collaboration and open communication within the scientific community is crucial for advancing our understanding and methods in biomechanics.

Thank you for raising this important issue and I hope this helps in your research. Best of luck to you.