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Regression Reconstruction from a Retrospective Sample

The simplest form of retrospective study allows the reconstruction of the dependence between a binary outcome, [Formula: see text] representing the contrast between cases and controls, and one or more explanatory variables. A different objective for such situations is considered, in which there are...

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Detalles Bibliográficos
Autores principales: Kartsonaki, Christiana, Cox, D. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872473/
https://www.ncbi.nlm.nih.gov/pubmed/36726747
http://dx.doi.org/10.1016/j.ecosta.2020.10.003
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author Kartsonaki, Christiana
Cox, D. R.
author_facet Kartsonaki, Christiana
Cox, D. R.
author_sort Kartsonaki, Christiana
collection PubMed
description The simplest form of retrospective study allows the reconstruction of the dependence between a binary outcome, [Formula: see text] representing the contrast between cases and controls, and one or more explanatory variables. A different objective for such situations is considered, in which there are distinct explanatory variables, say [Formula: see text] determining [Formula: see text]. Reconstruction of the originating distribution of [Formula: see text] from the case-control data is considered for both continuous and binary variables. Emphasis is on the linear regression coefficient of [Formula: see text] on [Formula: see text]. That coefficient, but not the relevant intercept, shows considerable stability, as shown by theory and simulations. An approximation to the value of the coefficient not conditioning on [Formula: see text] is given.
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spelling pubmed-98724732023-01-30 Regression Reconstruction from a Retrospective Sample Kartsonaki, Christiana Cox, D. R. Econom Stat Article The simplest form of retrospective study allows the reconstruction of the dependence between a binary outcome, [Formula: see text] representing the contrast between cases and controls, and one or more explanatory variables. A different objective for such situations is considered, in which there are distinct explanatory variables, say [Formula: see text] determining [Formula: see text]. Reconstruction of the originating distribution of [Formula: see text] from the case-control data is considered for both continuous and binary variables. Emphasis is on the linear regression coefficient of [Formula: see text] on [Formula: see text]. That coefficient, but not the relevant intercept, shows considerable stability, as shown by theory and simulations. An approximation to the value of the coefficient not conditioning on [Formula: see text] is given. Elsevier B.V 2023-01 /pmc/articles/PMC9872473/ /pubmed/36726747 http://dx.doi.org/10.1016/j.ecosta.2020.10.003 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kartsonaki, Christiana
Cox, D. R.
Regression Reconstruction from a Retrospective Sample
title Regression Reconstruction from a Retrospective Sample
title_full Regression Reconstruction from a Retrospective Sample
title_fullStr Regression Reconstruction from a Retrospective Sample
title_full_unstemmed Regression Reconstruction from a Retrospective Sample
title_short Regression Reconstruction from a Retrospective Sample
title_sort regression reconstruction from a retrospective sample
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872473/
https://www.ncbi.nlm.nih.gov/pubmed/36726747
http://dx.doi.org/10.1016/j.ecosta.2020.10.003
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