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Editorial
. 2021 Jan;10(1):12-18.
doi: 10.21037/tau-20-1211.

Risk stratification tools in prostate cancer, where do we stand?

Andries Clinckaert  1 , Gaëtan Devos  1 , Eduard Roussel  1 , Steven Joniau  1
Affiliations
Editorial

Risk stratification tools in prostate cancer, where do we stand?

Andries Clinckaert et al. Transl Androl Urol. 2021 Jan.
No abstract available

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tau-20-1211). The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Predictive models and machine learning aim to precisely predict outcomes for specific patient, whereas etiological research tries to find causal relations between an outcome and the variable.
See this image and copyright information in PMC

Comment on

References

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