Open Access
Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
(SAGE, 2019) Goicoa Mangado, Tomás; Adin Urtasun, Aritz; Etxeberria Andueza, Jaione; Militino, Ana F.; Ugarte Martínez, María Dolores; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute for Advanced Materials and Mathematics - INAMAT2
In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both xed relative scale and scale invariant two-dimensional penalties are examined. Model tting and inference are carried out using integrated nested Laplace approximations (INLA), a recent Bayesian technique that speeds up computations compared to McMC methods. The models will be illustrated with Spanish breast cancer mortality data during the period 1985-2010, where a general decline in breast cancer mortality has been observed in Spanish provinces in the last decades. The results reveal that mortality rates for the oldest age groups do not decrease in all provinces.
Open Access
Using mortality to predict incidence for rare and lethal cancers in very small areas
(VCH Publishers, 2022) Etxeberria Andueza, Jaione; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute for Advanced Materials and Mathematics - INAMAT2
Incidence and mortality figures are needed to get a comprehensive overview of cancer burden. In many countries, cancer mortality figures are routinely recorded by statistical offices, whereas incidence depends on regional cancer registries. However, due to the complexity of updating cancer registries, incidence numbers become available 3 or 4 years later than mortality figures. It is, therefore, necessary to develop reliable procedures to predict cancer incidence at least until the period when mortality data are available. Most of the methods proposed in the literature are designed to predict total cancer (except nonmelanoma skin cancer) or major cancer sites. However, less frequent lethal cancers, such as brain cancer, are generally excluded from predictions because the scarce number of cases makes it difficult to use univariate models. Our proposal comes to fill this gap and consists of modeling jointly incidence and mortality data using spatio-temporal models with spatial and age shared components. This approach allows for predicting lethal cancers improving the performance of individual models when data are scarce by taking advantage of the high correlation between incidence and mortality. A fully Bayesian approach based on integrated nested Laplace approximations is considered for model fitting and inference. A validation process is also conducted to assess the performance of alternative models. We use the new proposals to predict brain cancer incidence rates by gender and age groups in the health units of Navarre and Basque Country (Spain) during the period 2005-2008.
Open Access
Age- and sex-specific spatio-temporal patterns of colorectal cancer mortality in Spain (1975-2008)
(BioMed Central, 2014) Etxeberria Andueza, Jaione; Ugarte Martínez, María Dolores; Goicoa Mangado, Tomás; Militino, Ana F.; Estadística e Investigación Operativa; Estatistika eta Ikerketa Operatiboa
In this paper, space-time patterns of colorectal cancer (CRC) mortality risks are studied by sex and age group (50-69, ≥70) in Spanish provinces during the period 1975-2008. Space-time conditional autoregressive models are used to perform the statistical analyses. A pronounced increase in mortality risk has been observed in males for both age-groups. For males between 50 and 69 years of age, trends seem to stabilize from 2001 onward. In females, trends reflect a more stable pattern during the period in both age groups. However, for the 50-69 years group, risks take an upward trend in the period 2006-2008 after the slight decline observed in the second half of the period. This study offers interesting information regarding CRC mortality distribution among different Spanish provinces that could be used to improve prevention policies and resource allocation in different regions.
Open Access
Tendencias en las tasas de incidencia de cáncer colorrectal en Navarra en el periodo 1990-2005
(Gobierno de Navarra, 2012) Etxeberria Andueza, Jaione; Ugarte Martínez, María Dolores; Barricarte Gurrea, Aurelio; Goicoa Mangado, Tomás; Moreno Iribas, Conchi; Azagra, M. J.; San Roman, E.; Burgui, Rosana; Militino, Ana F.; Ardanaz, Eva; Estadística e Investigación Operativa; Estatistika eta Ikerketa Operatiboa
Fundamento. En España, se ha observado un aumento de la incidencia de cáncer colorrectal (CCR) en ambos sexos en los últimos años, posiblemente debido a las mejoras diagnósticas, a la occidentalización de la dieta y al empeoramiento de los niveles de obesidad entre otros. En este trabajo se han estudiado las tendencias de la incidencia de CCR en las diferentes áreas de salud de Navarra (norte de España) durante el período 1990-2005. Métodos. Para cada sexo y área, se obtuvieron las tendencias de las tasas de incidencia y los correspondientes intervalos de confianza mediante modelos de P-splines. Resultados. Se observa una tendencia creciente de la incidencia de CCR en la mayoría de las áreas para ambos sexos, siendo menos pronunciada en las mujeres que en los hombres. En la zona centro de Pamplona (la capital) se observa una tendencia decreciente para los hombres durante el período estudiado. Conclusiones. Para cambiar las tendencias crecientes observadas en la mayoría de las áreas de la provincia, la prevención primaria es la mejor estrategia. Sin embargo, adquirir estilos de vida saludables tiene resultados a largo plazo por lo que un programa de detección temprana serviría como estrategia de prevención a más corto plazo.
Open Access
Spatial gender-age-period-cohort analysis of pancreatic cancer mortality in Spain (1990-2013)
(Public Library of Science, 2017) Etxeberria Andueza, Jaione; Goicoa Mangado, Tomás; López Abente, Gonzalo; Riebler, Andrea; Ugarte Martínez, María Dolores; Estatistika eta Ikerketa Operatiboa; Institute for Advanced Materials and Mathematics - INAMAT2; Estadística e Investigación Operativa; Gobierno de Navarra / Nafarroako Gobernua, 113, Res.2186/2014
Recently, the interest in studying pancreatic cancer mortality has increased due to its high lethality. In this work a detailed analysis of pancreatic cancer mortality in Spanish provinces was performed using recent data. A set of multivariate spatial gender-age-period-cohort models was considered to look for potential candidates to analyze pancreatic cancer mortality rates. The selected model combines features of APC (age-period-cohort) models with disease mapping approaches. To ensure model identifiability sum-to-zero constraints were applied. A fully Bayesian approach based on integrated nested Laplace approximations (INLA) was considered for model fitting and inference. Sensitivity analyses were also conducted. In general, estimated average rates by age, cohort, and period are higher in males than in females. The higher differences according to age between males and females correspond to the age groups [65, 70), [70, 75), and [75, 80). Regarding the cohort, the greatest difference between men and women is observed for those born between the forties and the sixties. From there on, the younger the birth cohort is, the smaller the difference becomes. Some cohort differences are also identified by regions and age-groups. The spatial pattern indicates a North-South gradient of pancreatic cancer mortality in Spain, the provinces in the North being the ones with the highest effects on mortality during the studied period. Finally, the space-time evolution shows that the space pattern has changed little over time.