ArticlePsychometrika2018
Nonlinear Predictive Models for Multiple Mediation Analysis: With an Application to Explore Ethnic Disparities in Anxiety and Depression Among Cancer Survivors.
Article in Psychometrika, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Calidad de Vida: a systematic review of quality of life in Latino cancer survivors in the USA.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020Pooled it
- Causal Inference Framework Reveals Mediterranean Diet Superiority and Inflammatory Mediation Pathways in Mortality Prevention: A Comparative Analysis of Nine Common Dietary Patterns.Foods (Basel, Switzerland) · 2025Article
- Differences in Covid-19 deaths amongst cancer patients and possible mediators for this relationship.Scientific reports · 2025Article
- Bayesian mediation analysis methods to explore racial/ethnic disparities in anxiety among cancer survivors.Behaviormetrika · 2023Article
- Inference on moderation effect with third-variable effect analysis - application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment.Journal of applied statistics · 2022Article
- Risk of coronary heart disease in patients with periodontitis among the middled-aged and elderly in China: a cohort study.BMC oral health · 2021Article
- Multilevel mediation analysis on time-to-event outcomes: Exploring racial/ethnic disparities in breast cancer survival in California.Research methods in medicine & health sciences · 2021Article
- Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions.Psychometrika · 2021Article
- What mediates the racial/ethnic disparity in psychosocial stress among breast cancer patients?Cancer causes & control : CCC · 2021Article
- Social Network Mediation Analysis: A Latent Space Approach.Psychometrika · 2021Article
- A Multivariate Multiple Third-Variable Effect Analysis with an Application to Explore Racial and Ethnic Disparities in Obesity.Journal of applied statistics · 2021Article
- Meaning-Centered Psychotherapy for Latino Patients with Advanced Cancer: Cultural Adaptation Process.Journal of palliative medicine · 2020Article
- Role of lymphadenectomy, adjuvant chemotherapy, and treatment at high-volume centers in patients with resected pancreatic cancer-a distinct view on lymph node yield.Langenbeck's archives of surgery · 2020Article
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4 authors.
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Abstract
Mediation analysis allows the examination of effects of a third variable (mediator/confounder) in the causal pathway between an exposure and an outcome. The general multiple mediation analysis method (MMA), proposed by Yu et al., improves traditional methods (e.g., estimation of natural and controlled direct effects) to enable consideration of multiple mediators/confounders simultaneously and the use of linear and nonlinear predictive models for estimating mediation/confounding effects. Previous studies find that compared with non-Hispanic cancer survivors, Hispanic survivors are more likely to endure anxiety and depression after cancer diagnoses. In this paper, we applied MMA on MY-Health study to identify mediators/confounders and quantify the indirect effect of each identified mediator/confounder in explaining ethnic disparities in anxiety and depression among cancer survivors who enrolled in the study. We considered a number of socio-demographic variables, tumor characteristics, and treatment factors as potential mediators/confounders and found that most of the ethnic differences in anxiety or depression between Hispanic and non-Hispanic white cancer survivors were explained by younger diagnosis age, lower education level, lower proportions of employment, less likely of being born in the USA, less insurance, and less social support among Hispanic patients.
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