mediation: R Package for Causal Mediation Analysis
TL;DR: The mediation package implements a comprehensive suite of statistical tools for conducting causal mediation analysis in applied empirical research and implements a statistical method for dealing with multiple (causally dependent) mediators, which are often encountered in practice.
read more
Abstract: In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the goal of researchers is not only estimating causal effects of a treatment but also understanding the process in which the treatment causally affects the outcome. Causal mediation analysis is frequently used to assess potential causal mechanisms. The mediation package implements a comprehensive suite of statistical tools for conducting such an analysis. The package is organized into two distinct approaches. Using the model-based approach, researchers can estimate causal mediation effects and conduct sensitivity analysis under the standard research design. Furthermore, the design-based approach provides several analysis tools that are applicable under different experimental designs. This approach requires weaker assumptions than the model-based approach. We also implement a statistical method for dealing with multiple (causally dependent) mediators, which are often encountered in practice. Finally, the package also offers a methodology for assessing causal mediation in the presence of treatment noncompliance, a common problem in randomized trials.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Effects of family income on brain functional connectivity in US children: associations with cognition.
Dardo Tomasi,Nora D. Volkow +1 more
TL;DR: It is suggested that poor cognitive performance, which likely reflects multiple factors (genetic, nutritional, the level and quality of parental interactions, and educational exposure), contributes to reduced DMN functional connectivity in children from low-income families.
10
Neighborhood-Level Socioeconomic Status and Prescription Fill Patterns Among Patients With Heart Failure
Amrita Mukhopadhyay,Saul Blecker,Xiyue Li,Ian M. Kronish,Rumi Chunara,Yaguang Zheng,Steven Lawrence,John A Dodson,Sam Kozloff,Samrachana Adhikari +9 more
TL;DR: It is suggested that interventions to improve medication adherence among patients with heart failure should consider neighborhood-level approaches and policies to target patients at highest risk.
10
•Posted Content
Qualitative Evaluation of Associations by the Transitivity of the Association Signs
TL;DR: In this paper, the signs of association measures among three variables fX;Y;Zg are transitive if a positive association measure between the variable X and the intermediate variable Y and further a positive relationship between Y and the endpoint variable Z imply a positive relation between X and Z.
Timeliness of Immunizations in CenteringParenting.
TL;DR: A retrospective cohort study of infants born 10/1/2014 - 2/18/2019 with a 2-month and subsequent well-child visit, both Centering or individual, at an academic pediatric practice in an urban, low income community showed a strong association of CenteringParenting with timeliness of immunizations and adherence to well- child visits compared to individual visits in a low income, minority community.
10
Cohort effects on gender differences in alcohol use in the United States: How much is explained by changing attitudes towards women and gendered roles?
Katherine M. Keyes,Jonathan Platt,Caroline Rutherford,Megan E. Patrick,Deborah D. Kloska,John E. Schulenberg,Justin Jager +6 more
TL;DR: For instance, the authors examined how attitudes about gender, religion and family additionally explain cohort effects in binge drinking by sex, and concluded that changes in social roles, as well as some gender, and religious views, partially mediate cohort effects on binge drinking for men and women.
10
References
•Journal Article
R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
410.8K
The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.
Reuben M. Baron,David A. Kenny +1 more
TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
TL;DR: An overview of simple and multiple mediation is provided and three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model are explored.
31.1K
•Book
Experimental and Quasi-Experimental Designs for Generalized Causal Inference
William R. Shadish,Thomas D. Cook,Donald T. Campbell +2 more
- 01 Jan 2001
TL;DR: In this article, the authors present experiments and generalized Causal inference methods for single and multiple studies, using both control groups and pretest observations on the outcome of the experiment, and a critical assessment of their assumptions.
15.3K
Linear Mixed-Effects Models using 'Eigen' and S4
Douglas M. Bates,Martin Maechler,Ben Bolker,Steven C. Walker +3 more
- 06 Oct 2015
TL;DR: The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen``glue''.
9K