Publication:
Checking unimodality using isotonic regression: an application to breast cancer mortality rates

Consultable a partir de

Date

2016

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión aceptada / Onetsi den bertsioa

Project identifier

Abstract

In some diseases it is well-known that a unimodal mortality pattern exists. A clear example in developed countries is breast cancer, where mortality increased sharply until the nineties and then decreased. This clear unimodal pattern is not necessarily applicable to all regions within a country. In this paper, we develop statistical tools to check if the unimodality pattern persists within regions using order restricted inference. Break points as well as confidence intervals are also provided. In addition, a new test for checking monotonicity against unimodality is derived allowing to discriminate between a simple increasing pattern and an up-then-down response pattern. A comparison with the widely used joinpoint regression technique under unimodality is provided. We show that the joinpoint technique could fail when the underlying function is not piecewise linear. Results will be illustrated using age-specific breast cancer mortality data from Spain in the period 1975-2005.

Keywords

Change point, Isotonic regression, Order restricted inference, Temporal trends, Joint point regression, Segmented regression

Department

Estatistika eta Ikerketa Operatiboa / Institute for Advanced Materials and Mathematics - INAMAT2 / Estadística e Investigación Operativa

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Degree

Doctorate program

Editor version

Funding entities

This work has been supported by the Spanish Ministry of Science and Innovation (project MTM 2011-22664 jointly sponsored with Feder grants, project MTM 2012-37129 and project MTM2014-51992-R). The work has been also partially supported by the Health Department of Navarre Government (Project 113, Res. 2186/2014).

© Springer-Verlag Berlin Heidelberg 2015

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