Projecting the future burden of cancer: Bayesian age–period–cohort analysis with integrated nested Laplace approximations

By Andrea Riebler, Leonhard Held. Biometrical journal. Biometrische Zeitschrift, 2017

510 citations recorded by the source corpus.

Subfields: Demography, General Health Professions, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/bdd63677757c65383db29eedc4c8581466e59576

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

1. Andrea Riebler

In General Health Professions

1. Andrea Riebler

In Management Science and Operations Research

1. Daniel P. Simpson
2. Håvard Rue
3. Finn Lindgren
4. Andrea Riebler
5. Sigrunn Holbek Sørbye

Citations in the corpus

• Bayesian Computing with INLA: A Review (2016, methodology): “…(Schr¨odle and Held, 2011b,a; Ugarte et al., 2014, 2016; Papoila et al., 2014; Goicoa et al., 2016; Riebler et al., 2016), age-period-cohort models (Riebler and Held, 2016), evolution of the Ebola virus (Santermans et al., 2016), studies of relationship between access to housing, health and…”