Using mortality to predict incidence for rare and lethal cancers in very small areas

Biometrical Journal 2022 (Accepted)

This repository contains the R code to create figures and tables similar to those described in the paper entitled "Using mortality to predict incidence for rare and lethal cancers in very small areas" (Etxeberria et al., 2022) as well as the code to fit and validate the models used. Note that due to confidentiality issues with the real data, a simulated dataset has been used and then, results are not fully reproducible.

Table of contents

---

• R code

• References

• Acknowledgements

R code

---

R code to fit the multivariate spatio-temporal models described in the paper plus the code to create figures and tables is included here.

Acknowledgements

---

This work has been supported by Projects MTM2017-82553-R (AEI/FEDER, UE), PID2020-113125RB-I00/MCIN/AEI/10.13039/501100011033 and Proyecto Jóvenes Investigadores PJUPNA2018-11.

References

---

Etxeberria, J., Goicoa, T., and Ugarte, M.D. (2022). Using mortality to predict incidence for rare and lethal cancers. Biometrical Journal, https://doi.org/10.1002/bimj.202200017