Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects

Cited by (434)

Items 301–400 of 434

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13. Hypothesis-driven mediation analysis for compositional data: an application to gut microbiome
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15. Statistical models of mediation for drug program evaluation.
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16. The role of potential outcomes thinking in assessing mediation and interaction
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19. A More Efficient Causal Mediator Model Without the No-Unmeasured-Confounder Assumption
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20. Epidemiological concepts in environmental epigenetics
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21. Regression-based mediation analysis: a formula for the bias due to an unobserved precursor variable
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22. The Effectiveness of a Mindfulness-Based Intervention Integrated with Physical Therapy (MIND-PT) for Postsurgical Rehabilitation After Lumbar Surgery: A Protocol for a Randomized Controlled Trial as Part of the Back Pain Consortium (BACPAC) Research Program
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23. Validity and bias in epidemiological research
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24. Bias and sensitivity analysis for unmeasured confounders in linear structural equation models
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25. Higher Education and the Black-White Earnings Gap
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26. Precision exercise in older adults with early Alzheimer’s disease: The study protocol of the FIT-AD Sequential, Multiple Assignment, Randomized Trial (SMART)
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28. Comments: Using Design Elements for Increasing the Severity of Causal Mediation Tests
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29. Causal Mediation Analysis in Pregnancy Studies: the Case of Environmental Epigenetics
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30. Using marginal structural models to adjust for treatment drop‐in when developing clinical prediction models
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31. The Risk Information and Skin-Cancer Education for Undergraduate Prevention (Rise-Up) Study: Protocol for a Trial of Personalized Sun Protection Interventions for Skin Cancer Prevention Among Undergraduate Students
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32. Smoking behavior-related genetic variants and lung cancer risk in Japanese: an assessment by mediation analysis
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33. Robustness of Measures of Interaction to Unmeasured Confounding
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34. Monte-Carlo Sensitivity Analysis for Controlled Direct Effects Using Marginal Structural Models in the Presence of Confounded Mediators
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35. Hard, harder, hardest: principal stratification, statistical identifiability, and the inherent difficulty of finding surrogate endpoints
    Julian A. Wolfson, Lisa L. Henn · 2014 · Emerging Themes in Epidemiology
36. Jiang and VanderWeele Respond to “Bounding Natural Direct and Indirect Effects”
    Zhichao Jiang, Tyler J. VanderWeele · 2015 · American Journal of Epidemiology
37. Estimating controlled direct effects through marginal structural models
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38. A Bayesian finite mixture of bivariate regression model for causal mediation analyses
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39. Advancing Substantive Knowledge by Asking New Questions, Best Done in the Light of Answers to Older Questions
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40. Invited Commentary: Identifying the Improbable, the Value of Incremental Insights
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41. Mediation Analysis in Understanding Mechanism of Alzheimer’s Disease Risk
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42. Bayesian data fusion for unmeasured confounding
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43. The role of differential exposure and susceptibility to heavy drinking linking income inequalities and tooth loss: An investigation of the alcohol harm paradox using a four‐way decomposition analysis
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44. Parametric causal mediation analysis with asymmetric binary regression model
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45. Sensitivity Analysis for Unmeasured Confounding in Causal Mediation Analysis With Survival Outcome
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46. Does metabolically healthy obesity really exist: going toward new definitions
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47. Early, Late and Sequential Psychosocial Mediators of Reduction in Depression Symptoms Six Months Following Group Support Psychotherapy among People Living with HIV in Uganda: A Longitudinal Mediation Analysis
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48. Preferences that Matter: Redistribution and Voting in the US
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49. Research Questions in Data Science
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50. Data-Adaptive Estimation in Cluster Randomized Trials
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51. Semiparametric Causal Mediation Analysis with Unmeasured Mediator-Outcome Confounding
    Baoluo Sun, Ting Ye · 2022 · Statistica Sinica
52. Modelling anticoagulation and health-related quality of life in those with atrial fibrillation: a secondary analysis of AFFIRM
    Eric Lee Stulberg, Alen Delic, Alexander R. Zheutlin, Benjamin Adam Steinberg, Shadi R. Yaghi, Richa Sharma, Adam de Havenon · 2023 · Clinical Research in Cardiology
53. Mediationsanalyse
    Martin Huber · 2023 · Springer eBooks
54. Exposure to air pollutants and breast cancer risk: mediating effects of metabolic health biomarkers in a nested case–control study within the E3N-Generations cohort
    Benoît Mercoeur, Béatrice Fervers, Thomas Coudon, Hwayoung Noh, Camille Giampiccolo, Lény Grassot, Élodie Faure, Florian Couvidat, Gianluca Severi, Francesca Romana Mancini et al. · 2024 · Breast Cancer Research
55. Empirical Essays on Preference Formation and Economic Decision Making
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56. Efficient nonparametric estimation of causal mediation effects
    Kwun Chuen Gary Chan, Kosuke Imai, Sheung Chi Phillip Yam, Z. Zhang · 2016 · arXiv (Cornell University)
57. Estimation and Sensitivity Analysis for Causal Decomposition in Heath Disparity Research
    Soojin Park, Chioun Lee, Xu Qin · 2020 · arXiv (Cornell University)
58. Choosing an Optimal Method for Causal Decomposition Analysis: A Better Practice for Identifying Contributing Factors to Health Disparities
    Soojin Park, Suyeon Kang, Chioun Lee · 2021 · arXiv (Cornell University)
59. Analysis of Heterogeneity
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60. Emerging Adults’ Journeys out of the Shutdown: Longitudinal Narrative Patterns in a College Career Defined by COVID
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61. On the statistical analysis of studies with attention checks
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62. Quantifying intermediary processes in ecology using causal mediation analyses
    Hannah Correia, Laura E. Dee, Paul J. Ferraro · 2024
63. Life course socioeconomic position, health behaviours and cognitive function in middle-aged and older persons in four Central and Eastern European populations : findings from the HAPIEE study
    Pia Horvat · 2014 · UCL Discovery (University College London)
64. Causal Inference with Intermediates: Simple Methods for Principal Strata Effects and Natural Direct Effects
    Yasutaka Chiba, Etsuji Suzuki · 2013 · InTech eBooks
65. Sensitivity Analysis for Linear Structural Equation Models, Longitudinal Mediation With Latent Growth Models and Blended Learning in Biostatistics Education
    Adam Sullivan · 2015 · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
66. Modelling Double-Moderated-Mediation & Confounder Effects Using Bayesian Statistics
    Georgios Chrysochoidis, Lars G. Tummers, Rens van de Schoot · 2014 · UEA Digital Repository (University of East Anglia)
67. Mumford et al. Respond to "Dietary Fiber, Estradiol, and Cholesterol"
    Sunni L. Mumford, Enrique F. Schisterman, Tyler J. VanderWeele · 2010 · American Journal of Epidemiology
68. Mixture of measurement errors and their impact on parameter inferences
    Jianjun Gan, Hongmei Zhang, Robert G. Best · 2011 · Journal of Statistical Computation and Simulation
69. Statistical Concepts and Networks in Causality
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70. Existing analytic methods for investigating causal mediation mechanisms
    Guanglei Hong · 2015 · Wiley eBooks
71. Statistical methods for register based studies with applications to stroke
    Anita Lindmark · 2016 · DiVA at Umeå University (Umeå University)
72. Opening the Black Box: Estimation of Targeted Effects in Causal Mediation Analysis With Applications to Global Health and Occupational Epidemiology
    Los Angeles · 2016
73. Epidemiology of oral cancer in India: a life course study.
    Krishna Rao, Sree Vidya · 2014 · Adelaide Research & Scholarship (AR&S) (University of Adelaide)
74. How do changes in the neighborhood food environment influence diet and body mass index over time? An innovative method using 20 years of spatial, diet, and anthropometry data
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75. Gestational Weight Gain, Pregnancy Outcomes, and Use of Perinatal Health Services
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76. Estimating Causal Direct and Indirect Effects in the Presence of Post-Treatment Confounders: A Simulation Study
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77. Inference about treatment effects using bounds, sensitivity analysis and instrumental variables
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78. PARITY, OBESITY AND BREAST CANCER SURVIVAL: DOES INTRINSIC SUBTYPE MODIFY OUTCOMES?
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79. Lower-level mediation with binary measures
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80. Investigation of Nutritional Biomarkers Associated with Metabolism of Inorganic Arsenic and Infant Birthweight
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81. Causal Mediation Analysis with Multiple Treatments and Latent Confounders
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82. Mediation Analysis in Sibling Designs: An Application to the Effect of Prenatal Antidepressant Exposure on Toddler Depression Mediated by Gestational Age at Birth
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83. Semiparametric causal mediation analysis under unmeasured mediator-outcome confounding
    Bo Sun · 2020 · arXiv (Cornell University)
84. Externalities and Redistribution
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
85. Income, Income Expectations, Redistribution, and Insurance
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
86. The Political Consequences of Redistribution Demands
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
87. Validity and bias in epidemiological research
    Sander Greenland, Tyler J. VanderWeele · 2021
88. Analysis of Externalities
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
89. Appendices
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
90. Conclusion
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
91. Introduction
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
92. Income Expectations as Determinants of Redistribution
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
93. Heterogeneity and Redistribution
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
94. Bibliography
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
95. Gestational Diabetes Mellitus and the Risks of Overall and Type-Specific Cardiovascular Diseases: A Population- and Sibling-Matched Cohort Study
    Yongfu Yu, Melissa Soohoo, Henrik Toft Sørensen, Jiong Li, Onyebuchi A. Arah · 2021
96. Gestational Diabetes Mellitus and the Risks of Overall and Type-Specific Cardiovascular Diseases: A Population- and Sibling-Matched Cohort Study
    Yongfu Yu, Melissa Soohoo, Henrik Toft Sørensen, Jiong Li, Onyebuchi A. Arah · 2021
97. Index
    David Rueda, Daniel Stegmueller · 2019 · Cambridge University Press eBooks
98. Erratum: Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects
    2010 · Epidemiology
99. Small for Gestational Age Births, Gestational Age, and Labour Outcomes: A Population-Based Study in the US
    Justin S. Brandt, Cande V. Ananth · 2021
100. Mediation, Statistical
     Xiaolu Wang · 2015 · Elsevier eBooks