Using mediation analysis to identify causal mechanisms in disease management interventions

Linden, Ariel; Karlson, Kristian Bernt

doi:10.1007/s10742-013-0106-5

Cited by 41 publications

(42 citation statements)

References 77 publications

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“…Equation provides both the b and c′ pathways indicated in Figure by regressing the outcome on T, M, and X. Thus, b represents the effect of M on Y controlling for T and X, and c′ represents the effect of T on Y, controlling for M and X …”

Section: Methodsmentioning

confidence: 99%

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Identifying causal mechanisms in health care interventions using classification tree analysis

Linden

Yarnold

2017

Evaluation Clinical Practice

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CTA may uncover mediation effects where conventional approaches do not, because CTA does not require any assumptions about the distribution of variables nor of the functional form of the model, and CTA will systematically identify all statistically viable interactions. The versatility of CTA enables the investigator to explore the theorized underlying causal mechanism of an intervention in a much more comprehensive manner than conventional mediation analytic approaches.

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Section: Methodsmentioning

confidence: 99%

“…Mediation analysis overcomes this limitation by identifying intermediate variables that lie on the causal pathway and consequently mediate the relationship between treatment and outcome. Additionally, mediation analysis can serve to optimize an intervention by identifying activities that most reliably lead to the desired outcome …”

Section: Introductionmentioning

confidence: 99%

Identifying causal mechanisms in health care interventions using classification tree analysis

Linden

Yarnold

2017

Evaluation Clinical Practice

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“…In this regression, the dichotomous variable representing the presence or absence of children's autonomous compliant response to limits was regressed on maternal authoritative limit-setting (mediator), maternal authoritarian attitudes, and covariates of maternal age, education, income, child gender, and hours of non-maternal care. The Sobel test provides a conservative test of hypothesized mediator effects when accounting for covariates in observational (descriptive) studies, and is also appropriate for use with dichotomous outcome measures (Linden and Karlson 2013; MacKinnon and Dwyer 1993; Zhao et al 2010). …”

Section: Methodsmentioning

confidence: 99%

A Within-Group Analysis of African American Mothers’ Authoritarian Attitudes, Limit-Setting and Children’s Self-Regulation

LeCuyer

Swanson

2016

J Child Fam Stud

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Research suggests that higher levels of authoritarian parenting exist in African American (AA) families than in European American (EA) families, and that authoritarian attitudes may be associated with more positive outcomes in AA families than EA families. However, less is known about authoritarian attitudes and children's development within AA families. This within-group study of 50 African American mothers and their 3-year-old children examined associations between maternal authoritarian attitudes, observed maternal limit-setting strategies, and children's self-regulation during a limit-setting interaction. The findings indicate that while AA families may hold more authoritarian attitudes than EA families, the direction of effect of authoritarian attitudes on children's outcomes appears to be the same in both ethnic groups. In this sample, when examining AA authoritarian attitudes relative to those of other AA mothers, less or lower authoritarian attitudes were associated with authoritative limit-setting behavior (firm limits within the context of overall warmth and responsiveness) and better children's self-regulation.

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“…Given the above notation, the direct effect represents 'a 1 ' and its indirect effect is 'a × b' [33][34][35]. This can be interpreted as a one-unit change of X 1 changes in Y by a 1 and further changes in Y by ab as a result of the effect of X 1 on M (indirect effect).…”

Section: Study Area Data Collection and Analysismentioning

confidence: 99%

Pro-Environmental Behavior: The Role of Public Perception in Infrastructure and the Social Factors for Sustainable Development

2018

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Abstract:The importance of public participation in the successful implementation of climate change-related policies has been highlighted in previous research. However, existing environmental behavioral studies have not sufficiently addressed the relationship among perceptions of climate change, living conditions, social demographic factors and environmentally friendly behavior. Therefore, this paper investigates whether environmental perception and other social determinants such as living conditions and the subjective evaluation of social inequality affect environmentally friendly behavior. We use survey data (N = 1500) collected in Mumbai, India, and analyze our hypotheses using a structural equation model (SEM). The empirical results confirm the direct and indirect influences of environmentally related perceptions, the subjective evaluation of living environments, social factors and other demographic characteristics on pro-environmental behavior. In particular, we find a robust positive effect of education level on pro-environmental behavior, where we observe both a direct impact and an indirect impact through positive effects on environmental knowledge. Thus, we confirm the importance of living environment, social equality and education in sustainable urban planning and efforts to mitigate climate change.

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Using mediation analysis to identify causal mechanisms in disease management interventions

Cited by 41 publications

References 77 publications

Identifying causal mechanisms in health care interventions using classification tree analysis

Identifying causal mechanisms in health care interventions using classification tree analysis

A Within-Group Analysis of African American Mothers’ Authoritarian Attitudes, Limit-Setting and Children’s Self-Regulation

Pro-Environmental Behavior: The Role of Public Perception in Infrastructure and the Social Factors for Sustainable Development

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