Multilevel moderated mediation model with ordinal outcome

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10377871" target="_blank" >RIV/00216208:11320/18:10377871 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1002/sim.7605" target="_blank" >https://doi.org/10.1002/sim.7605</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/sim.7605" target="_blank" >10.1002/sim.7605</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multilevel moderated mediation model with ordinal outcome

Popis výsledku v původním jazyce

Although increasingly complex models have been proposed in mediation literature, there is no model nor software that incorporates the multiple possible generalizations of the simple mediation model jointly. We propose a flexible moderated mediation model allowing for (1) ahierarchical structure of clustered data, (2) more and possibly correlated mediators, and (3) an ordinal outcome. The motivating data set is obtained from a European study in nursing research. Patients&apos; willingness to recommend their treating hospital was recorded in an ordinal way. The research question is whether such recommendation directly depends on system-level features in the organization of nursing care, or whether these associations are mediated by 2 measurements of nursing care left undone and possibly moderated by nurse education. We have developed a Bayesian approach and accompanying program that takes all the above generalizations into account.

Název v anglickém jazyce

Multilevel moderated mediation model with ordinal outcome

Popis výsledku anglicky

Although increasingly complex models have been proposed in mediation literature, there is no model nor software that incorporates the multiple possible generalizations of the simple mediation model jointly. We propose a flexible moderated mediation model allowing for (1) ahierarchical structure of clustered data, (2) more and possibly correlated mediators, and (3) an ordinal outcome. The motivating data set is obtained from a European study in nursing research. Patients&apos; willingness to recommend their treating hospital was recorded in an ordinal way. The research question is whether such recommendation directly depends on system-level features in the organization of nursing care, or whether these associations are mediated by 2 measurements of nursing care left undone and possibly moderated by nurse education. We have developed a Bayesian approach and accompanying program that takes all the above generalizations into account.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

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

2018

Kód důvěrnosti údajů

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

Název periodika

Statistics in Medicine

ISSN

0277-6715

e-ISSN

—

Svazek periodika

37

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

21

Strana od-do

1650-1670

Kód UT WoS článku

000429730500005

EID výsledku v databázi Scopus

2-s2.0-85042191240