Identifying influential observations in complex Bayesian mediation models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10365780" target="_blank" >RIV/00216208:11320/17:10365780 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identifying influential observations in complex Bayesian mediation models

Popis výsledku v původním jazyce

Although increasingly complicated (moderated) mediation models are being employed in practice, most of existing mediation literature has not dealt with model diagnostics.We propose a Bayesian approach to the detection of influential observations (or sets of observations). Importance sampling with weights which take advantage of the dependence structure in mediation models is utilized in order to estimate the case-deleted posterior means of the parameters. The method is applied to the ordinal measurements of patients&apos; willingness to recommend hospitals collected on patients in a large European study to answer the research question whether the outcome depends on recorded system-level features in the organization of nursing care, and whether the related effect is mediated by two measurements of nursing care left undone and possibly moderated by nurse education.

Název v anglickém jazyce

Identifying influential observations in complex Bayesian mediation models

Popis výsledku anglicky

Although increasingly complicated (moderated) mediation models are being employed in practice, most of existing mediation literature has not dealt with model diagnostics.We propose a Bayesian approach to the detection of influential observations (or sets of observations). Importance sampling with weights which take advantage of the dependence structure in mediation models is utilized in order to estimate the case-deleted posterior means of the parameters. The method is applied to the ordinal measurements of patients&apos; willingness to recommend hospitals collected on patients in a large European study to answer the research question whether the outcome depends on recorded system-level features in the organization of nursing care, and whether the related effect is mediated by two measurements of nursing care left undone and possibly moderated by nurse education.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GJ15-04774Y" target="_blank" >GJ15-04774Y: Modelování závislosti veličin pomocí kopulí za přítomnosti kovariát</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů