Exact Mediation Analysis for Ordinal Outcome and Binary Mediator.
With reference to a single mediator context, this brief report presents a model-based strategy to estimate counterfactual direct and indirect effects when the response variable is ordinal and the mediator is binary. Postulating a logistic regression model for the mediator and a cumulative logit mode...
| Publicado en: | Epidemiology Vol. 33; no. 6; pp. 840 - 843 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Nov2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159596022&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159596022 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10443983 N07 jtl: Epidemiology issn: 10443983 maglogo: N pubinfo: dt: Nov2022 vid: 33 iid: 6 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 159596022 159596022 NLM36220580 10.1097/EDE.0000000000001540 NLM36220580 159596022 ppf: 840 ppct: 3 formats: tig: atl: Exact Mediation Analysis for Ordinal Outcome and Binary Mediator. aug: au: Stanghellini, Elena Kateri, Maria affil: From the Department of Economics, University of Perugia, Perugia, Italy sug: ab: With reference to a single mediator context, this brief report presents a model-based strategy to estimate counterfactual direct and indirect effects when the response variable is ordinal and the mediator is binary. Postulating a logistic regression model for the mediator and a cumulative logit model for the outcome, we present the exact parametric formulation of the causal effects, thereby extending previous work that only contained approximated results. The identification conditions are equivalent to the ones already established in the literature. The effects can be estimated by making use of standard statistical software and standard errors can be computed via a bootstrap algorithm. To make the methodology accessible, routines to implement the proposal in R are presented in the eAppendix; http://links.lww.com/EDE/B962. We also derive the natural effect model coherent with the postulated data-generating mechanism. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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