scholarly journals Counterfactual Graphical Models for Longitudinal Mediation Analysis With Unobserved Confounding

2013 ◽  
Vol 37 (6) ◽  
pp. 1011-1035 ◽  
Author(s):  
Ilya Shpitser
Keyword(s):  
Graphical Models ◽  
Mediation Analysis ◽  
Longitudinal Mediation

scholarly journals Relationship between Air Passenger Transport, Tourism and Real Gross Domestic Product in Africa: A Longitudinal mediation analysis

2021 ◽  
Vol 10(4) (10(4)) ◽  
pp. 1200-1214
Author(s):  
Chengete Chakamera ◽  
Noleen M Pisa
Keyword(s):  
Gross Domestic Product ◽  
Mediation Analysis ◽  
Structural Equation ◽  
Total Effect ◽  
Domestic Product ◽  
Passenger Transport ◽  
Real Gross Domestic Product ◽  
Longitudinal Mediation ◽  
The Relationship

This paper analysed the relationships between air passenger transport, tourism and real gross domestic product per capita (rGDPpc) in Africa. Mediation models were analysed using the structural equation modelling approach. This analysis determined the role of a mediator variable in the relationship between dependent and independent variables. Bi-directional positive relationships were found between air passenger transport and rGDPpc, tourism and rGDPpc, followed by air passenger transport and tourism. A certain proportion of air passenger transport’s total effect on rGDPpc was from increased tourism, and some of the rGDPpc’s total effect on air passenger transport were from increased tourism. A sizable effect of tourism on rGDPpc was derived from increased air passenger transport, and a larger portion of rGDPpc’s total effect on tourism was from increased air passenger transport. These percentages show the strength of the mediation (or indirect) paths. The findings imply that it is vital to consider harmonised or integrated policies that facilitate the linkages between air passenger transport, tourism and rGDPpc. Novel in this study, is the scrutiny of the interrelationships between air passenger transport, tourism and rGDPpc in Africa, using longitudinal mediation analysis.

scholarly journals Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): a longitudinal mediation analysis

2020 ◽  
Vol 5 (1) ◽  
pp. e62-e70 ◽  
Author(s):  
Ziggi Ivan Santini ◽  
Paul E Jose ◽  
Erin York Cornwell ◽  
Ai Koyanagi ◽  
Line Nielsen ◽  
...  
Keyword(s):  
Mediation Analysis ◽  
Depression And Anxiety ◽  
Older Americans ◽  
Symptoms Of Depression ◽  
Longitudinal Mediation

scholarly journals Depressive Symptoms, Lifestyle Structure, and ART Adherence Among HIV-Infected Individuals: A Longitudinal Mediation Analysis

2014 ◽  
Vol 19 (1) ◽  
pp. 34-40 ◽  
Author(s):  
Jessica F. Magidson ◽  
Aaron J. Blashill ◽  
Steven A. Safren ◽  
Glenn J. Wagner
Keyword(s):  
Depressive Symptoms ◽  
Mediation Analysis ◽  
Art Adherence ◽  
Longitudinal Mediation

scholarly journals Mediation analysis for binary random variables : parametric decomposition of the total effect

2020 ◽  
Author(s):  
◽  
Martina Raggi
Keyword(s):  
Path Analysis ◽  
Graphical Models ◽  
Mediation Analysis ◽  
Indirect Effects ◽  
Random Variables ◽  
Total Effect ◽  
Logistic Regression Models ◽  
Exposure Variable ◽  
Recursive System ◽  
Binary Random Variables

This thesis is centered on the evaluation of direct and indirect effects via mediation analysis. A researcher is usually interested in assessing to what extent an exposure variable affects an outcome. However, identifying the overall effect does not answer questions concerning how and why such an effect arises. Single mediation analysis decomposes the overall effect of the exposure on the outcome into an indirect and a direct effect. The former refers to the to the effect of the exposure on the outcome due to a third variable, the mediator, which is supposed to fall in the pathway. The latter effect is the effect of the exposure on the outcome after keeping the mediator to whatever value might be of interest. Specifically, we derived novel exact parametric decompositions of the total effect into direct and indirect effect for binary random variables, both in the counterfactual and path-analysis frameworks. In the single mediation context, we derive parametric expressions of the counterfactual entities and their relationships with the associational definitions coming from the path analysis context. We apply these methodological results on a dataset coming from a randomly allocated microcredit program in Bosnia-Herzegovina to evaluate the effect on client’s bankability. We re-analyse the data, in order to build a mediation scheme that allows a better understanding of the main effect of the study, by assuming business ownership as a possible mediator. We also implement a simulation study to compare the proposed estimator to several competing ones. When multiple mediators are involved, we found alternative definitions for the decomposition of the total effect. These new definitions are more appropriate for variables modelled as a recursive system of univariate logistic regressions. Thus, by making use of graphical models, the overall effect was defined as the sum of the direct, indirect effects and a residual term that is null under certain hypotheses. In general, these expressions are written such that one can maintain the link between effects and their corresponding coefficients in logistic regression models assumed in the system.

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