publication . Doctoral thesis . 2016

Smooth generalized linear models for aggregated data

Ayma Anza, Diego Armando;
Open Access English
  • Published: 01 Oct 2016
  • Country: Spain
Abstract
Mención Internacional en el título de doctor Aggregated data commonly appear in areas such as epidemiology, demography, and public health. Generally, the aggregation process is done to protect the privacy of patients, to facilitate compact presentation, or to make it comparable with other coarser datasets. However, this process may hinder the visualization of the underlying distribution that follows the data. Also, it prohibits the direct analysis of relationships between aggregated data and potential risk factors, which are commonly measured at a finer resolution. Therefore, it is of interest to develop statistical methodologies that deal with the disaggregatio...
Subjects
free text keywords: Métodos estadísticos, Modelos lineales, Aggregated data, Smoothing, Linear model, Non-parametric methods, Composite link mixed model, CLMM, Estadística
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