descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2021Publisher:INE-Instituto Nacional de Estadistica de EspanaJournal:Spanish Journal of Statistics, volume 1, pages 37-44 (eissn: 2695-9070,

Authors: Moriña, David; Fernandez Fontelo, Amanda; Cabaña Nigro, Ana Alejandra; Arratia Quesada, Argimiro Alejandro; Puig Casado, Pere;

doi: 10.37830/sjs.2021.1.03

handle: 2117/363432

Misreported longitudinal data in epidemiology: Review of mixture-based advances and current challenges

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Abstract

The problem of dealing with misreported data is very common in a wide range of contexts and for different reasons. This has been and still is an important issue for data analysts and statisticians as not accounting for it could led to biased estimates and conclusions, and in many cases that would have implications in a posterior decision making process, as we all have seen in the current worldwide Covid-19 pandemic. In the last few years, many approaches have been proposed in the literature to accomodate data presenting this issue, especially in the fields of epidemiology and public health but also in other areas as social science. In this work, a comprehensive review of the recently proposed methods based on mixture models for longitudinal data (correlated and uncorrelated) is presented and several examples of application are discussed, including several approaches to the burden of Covid-19 infection cases in Spain and different approaches to deal with underreported registries of human papillomavirus infections and genital warts in Catalunya

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Keywords

Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària, :46 Associative rings and algebras::46N Miscellaneous applications of functional analysis [Classificació AMS], Public health, :Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària [Àrees temàtiques de la UPC], Epidemiology, Longitudinal data, :92 Biology and other natural sciences::92D Genetics and population dynamics [Classificació AMS], :62 Statistics::62P Applications [Classificació AMS], Epidemiologia -- Models matemàtics, Modelling, Classificació AMS::62 Statistics::62P Applications, Classificació AMS::46 Associative rings and algebras::46N Miscellaneous applications of functional analysis, Misreported data, Classificació AMS::92 Biology and other natural sciences::92D Genetics and population dynamics, Epidemiology -- Mathematical models, Classificació AMS::37 Dynamical systems and ergodic theory::37M Approximation methods and numerical treatment of dynamical systems, :37 Dynamical systems and ergodic theory::37M Approximation methods and numerical treatment of dynamical systems [Classificació AMS]

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