Regression reconstruction from a retrospective sample

The simplest form of retrospective study allows the reconstruction of the dependence be- tween a binary outcome, Y, 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 explan...

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Main Authors: Kartsonaki, C, Cox, DR
Format: Journal article
Language:English
Published: Elsevier 2020
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author Kartsonaki, C
Cox, DR
author_facet Kartsonaki, C
Cox, DR
author_sort Kartsonaki, C
collection OXFORD
description The simplest form of retrospective study allows the reconstruction of the dependence be- tween a binary outcome, Y, 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 (W, X) determining Y . Reconstruction of the originating distribution of (W, X) from the case-control data is considered for both continuous and binary variables. Emphasis is on the linear regression coefficient of W on X. 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 Y is given.
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spelling oxford-uuid:06ae8d4b-06b6-4cdd-a7c3-176779de47032023-03-09T10:38:19ZRegression reconstruction from a retrospective sampleJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:06ae8d4b-06b6-4cdd-a7c3-176779de4703EnglishSymplectic ElementsElsevier2020Kartsonaki, CCox, DRThe simplest form of retrospective study allows the reconstruction of the dependence be- tween a binary outcome, Y, 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 (W, X) determining Y . Reconstruction of the originating distribution of (W, X) from the case-control data is considered for both continuous and binary variables. Emphasis is on the linear regression coefficient of W on X. 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 Y is given.
spellingShingle Kartsonaki, C
Cox, DR
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
work_keys_str_mv AT kartsonakic regressionreconstructionfromaretrospectivesample
AT coxdr regressionreconstructionfromaretrospectivesample