A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention
Bibliographic Data
| ID | 19291007 |
|---|---|
| Authors | Donna L Coffman (0000-0001-6305-6579, Temple University, corresponding author), John J Dziak (0000-0003-0762-5495, Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University), Kaylee Litson (0000-0003-1296-4811, Utah State University), Yajnaseni Chakraborti (0000-0002-6747-8821, Temple University), Megan E Piper (0000-0002-9876-5460, Center for Tobacco Research Intervention, University of Wisconsin), Runze Li (0000-0002-0154-2202, Department of Statistics, The Pennsylvania State University) |
| Year | 2023 |
| Volume | 58 |
| Issue | 5 |
| Pages | 859-876 |
| Publication date | 2023-09-03 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2022.2149449 |
| PMID | 36622859 |
| OpenAlex | W4226151740 |
| Language | EN |
| Citations received | 1 |
| References cited | 62 |
The increase in the use of mobile and wearable devices now allows dense assessment of mediating processes over time. For example, a pharmacological intervention may have an effect on smoking cessation via reductions in momentary withdrawal symptoms. We define and identify the causal direct and indirect effects in terms of potential outcomes on the mean difference and odds ratio scales, and present a method for estimating and testing the indirect effect of a randomized treatment on a distal binary variable as mediated by the nonparametric trajectory of an intensively measured longitudinal variable (e.g., from ecological momentary assessment). Coverage of a bootstrap test for the indirect effect is demonstrated via simulation. An empirical example is presented based on estimating later smoking abstinence from patterns of craving during smoking cessation treatment. We provide an R package, funmediation, available on CRAN at https://cran.r-project.org/web/packages/funmediation/index.html, to conveniently apply this technique. We conclude by discussing possible extensions to multiple mediators and directions for future research
Abstinence · Addiction · Craving · Econometrics · Estimator · Intervention (counseling) · Mediation · Nonparametric statistics · Psychiatry · Randomized controlled trial · Smoking cessation · Statistics · Clinical Psychology · Internal Medicine · Mathematics · Medicine · Mental Health Research Topics · Psychology
Generalized Additive Models
Functional Data Analysis
Bootstrap Methods and their Application
Introduction to Statistical Mediation Analysis
Thin Plate Regression Splines
Conceptual issues concerning mediation, interventions and composition
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
Odds Ratios for Mediation Analysis for a Dichotomous Outcome
Randomization Analysis of Experimental Data
Diurnal cortisol slopes and mental and physical health outcomes
Varying-Coefficient Models
Flexible smoothing with B-splines and penalties
Longitudinal data analysis using generalized linear models
Ecological Momentary Assessment
Missing data
The Use of Traditional and Causal Estimators for Mediation Models with a Binary Outcome and Exposure-Mediator Interaction
Bias in Cross-Sectional Analyses of Longitudinal Mediation
The Combined Effects of Measurement Error and Omitting Confounders in the Single-Mediator Model
Estimation of Controlled Direct Effects in Longitudinal Mediation Analyses with Latent Variables in Randomized Studies
Depressive Symptoms, Lifestyle Structure, and ART Adherence Among HIV-Infected Individuals
Multiple imputation for missing data in a longitudinal cohort study
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |