Estimating Direct Effects in Cohort and Case–Control Studies

Marginal Structural Models and Causal Inference in Epidemiology

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Identifiability and exchangeability for direct and indirect effects

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Direct and Indirect Effects

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The Consquences of Adjustment for a Concomitant Variable That Has Been Affected by the Treatment

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Marginal Structural Models for the Estimation of Direct and Indirect Effects

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Fallibility in estimating direct effects

Cole, S. R., & Hernán, M. A. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.163 · Cited by 548 · see citing works

Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001)Preprint

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Estimation of Direct Causal Effects

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Data, Design, and Background Knowledge in Etiologic Inference

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Computation, Causation, and Discovery

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Related Causal Frameworks for Surrogate Outcomes

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Adjusting for Differential Rates of Prophylaxis Therapy for PCP in High-Versus Low-Dose AZT Treatment Arms in an AIDS Randomized Trial

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Causal Mediation Analyses with Rank Preserving Models

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Direct and Indirect Effects of Sequential TreatmentsPreprint

Didelez, V., Dawid, A. P., & Geneletti, S. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1206.6840 · Cited by 108 · see citing works

Computation, Causation and Discovery

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Estimation of Controlled Direct Effects

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Factors associated with lipoprotein cholesterol levels. The Framingham study.

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On the adjustment for covariates in genetic association analysis: a novel, simple principle to infer direct causal effects

Vansteelandt, S., Goetgeluk, S., Lutz, S. M., Waldman, I. D., Lyon, H. N., Schadt, E. E., Weiss, S. T., & Lange, C. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20393 · Cited by 52 · see citing works

Coronary Heart Disease Risk Reduction in a Predominantly Beer-Drinking Population

Brenner, H., Rothenbacher, D., Bode, G., März, W., Hoffmeister, A., & Köenig, W. (2001) · Epidemiology · doi:10.1097/00001648-200107000-00008 · Cited by 45 · see citing works

Postmenopausal Hormone Use, Screening, and Breast Cancer: Characterization and Control of a Bias

Joffe, M. M., Byrne, C., & Colditz, G. A. (2001) · Epidemiology · doi:10.1097/00001648-200107000-00013 · Cited by 35 · see citing works

Discussions

Robins, J. M., Rotnitzky, A. G., & Vansteelandt, S. (2007) · Biometrics · doi:10.1111/j.1541-0420.2007.00847_2.x · Cited by 25 · see citing works

Smoking, apolipoprotein E genotype, and early onset of coronary heart disease

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Mediation Analysis: A Practitioner's Guide

VanderWeele, T. J. (2016) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032315-021402 · Cited by 1,985 · see citing works

Odds Ratios for Mediation Analysis for a Dichotomous Outcome

VanderWeele, T. J., & Vansteelandt, S. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq332 · Cited by 809 · see citing works

Mediation analysis in epidemiology: methods, interpretation and bias

Richiardi, L., Bellocco, R., & Zugna, D. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dyt127 · Cited by 780 · see citing works

Conceptual issues concerning mediation, interventions and composition

VanderWeele, T. J., & Vansteelandt, S. (2009) · Statistics and Its Interface · doi:10.4310/sii.2009.v2.n4.a7 · Cited by 731 · see citing works

Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways.

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Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects

Acharya, A. R., Blackwell, M., & Sen, M. (2016) · American Political Science Review · doi:10.1017/s0003055416000216 · Cited by 526 · see citing works

The Political Legacy of American Slavery

Acharya, A. R., Blackwell, M., & Sen, M. (2016) · The Journal of Politics · doi:10.1086/686631 · Cited by 445 · see citing works

Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects

VanderWeele, T. J. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181df191c · Cited by 435 · see citing works

Effect Decomposition in the Presence of an Exposure-Induced Mediator-Outcome Confounder

VanderWeele, T. J., Vansteelandt, S., & Robins, J. M. (2014) · Epidemiology · doi:10.1097/ede.0000000000000034 · Cited by 395 · see citing works

Causal inference and longitudinal data: a case study of religion and mental health

VanderWeele, T. J., Jackson, J. W., & Li, S. (2016) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-016-1281-9 · Cited by 322 · see citing works

Direct and Indirect Effects in a Survival Context

Lange, T., & Hansen, J. V. (2011) · Epidemiology · doi:10.1097/ede.0b013e31821c680c · Cited by 281 · see citing works

Statistical Approaches for Enhancing Causal Interpretation of the M to Y Relation in Mediation Analysis

MacKinnon, D. P., & Pirlott, A. G. (2014) · Personality and Social Psychology Review · doi:10.1177/1088868314542878 · Cited by 257 · see citing works

Invited Commentary: Structural Equation Models and Epidemiologic Analysis

VanderWeele, T. J. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kws213 · Cited by 185 · see citing works

On model selection and model misspecification in causal inference.

Vansteelandt, S., Bekaert, M., & Claeskens, G. (2012) · Statistical Methods in Medical Research · doi:10.1177/0962280210387717 · Cited by 172 · see citing works

Mediation Analysis With Intermediate Confounding: Structural Equation Modeling Viewed Through the Causal Inference Lens

Stavola, B. L. D., Daniel, R., Ploubidis, G. B., & Micali, N. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu239 · Cited by 147 · see citing works

How to Make Causal Inferences with Time-Series Cross-Sectional Data Under Selection on Observables

Blackwell, M., & Glynn, A. (2018) · American Political Science Review · doi:10.1017/s0003055418000357 · Cited by 131 · see citing works

Mediation Analysis for Health Disparities Research

Naimi, A. I., Schnitzer, M. E., Moodie, E. E. M., & Bodnar, L. M. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kwv329 · Cited by 131 · see citing works

Using Marginal Structural Models to Estimate the Direct Effect of Adverse Childhood Social Conditions on Onset of Heart Disease, Diabetes, and Stroke

Nandi, A., Glymour, M. M., Kawachi, I. I., & VanderWeele, T. J. (2012) · Epidemiology · doi:10.1097/ede.0b013e31824570bd · Cited by 127 · see citing works

Policy-Relevant Proportions for Direct Effects

VanderWeele, T. J. (2013) · Epidemiology · doi:10.1097/ede.0b013e3182781410 · Cited by 123 · see citing works

Legacies of the Third Reich: Concentration Camps and Out-group Intolerance

Homola, J., Pereira, M. M., & Tavits, M. (2020) · American Political Science Review · doi:10.1017/s0003055419000832 · Cited by 123 · see citing works

Confounding in statistical mediation analysis: What it is and how to address it.

Valente, M. J., Pelham, W. E., Smyth, H. L., & MacKinnon, D. P. (2017) · Journal of Counseling Psychology · doi:10.1037/cou0000242 · Cited by 113 · see citing works

Recent Developments in Causal Inference and Machine Learning

Brand, J. E., Zhou, X., & Xie, Y. F. (2023) · Annual Review of Sociology · doi:10.1146/annurev-soc-030420-015345 · Cited by 124 · see citing works

A review of causal estimation of effects in mediation analyses

Ten Have, T. R., & Joffe, M. M. (2012) · Statistical Methods in Medical Research · doi:10.1177/0962280210391076 · Cited by 103 · see citing works

Dissecting direct and indirect genetic effects on chronic obstructive pulmonary disease (COPD) susceptibility

and the COPDGene and ECLIPSE Investigators, Siedliński, M., Tingley, D. H., Lipman, P. J., Cho, M. H., Litonjua, A. A., Sparrow, D., Bakke, P. S., Gulsvik, A., Lomas, D. A., et al. (2013) · Human Genetics · doi:10.1007/s00439-012-1262-3 · Cited by 97 · see citing works

Natural Direct and Indirect Effects on the Exposed: Effect Decomposition under Weaker Assumptions

Vansteelandt, S., & VanderWeele, T. J. (2012) · Biometrics · doi:10.1111/j.1541-0420.2012.01777.x · Cited by 96 · see citing works

Identification of Natural Direct Effects When a Confounder of the Mediator Is Directly Affected by Exposure

Tchetgen Tchetgen, E. J., & VanderWeele, T. J. (2014) · Epidemiology · doi:10.1097/ede.0000000000000054 · Cited by 93 · see citing works

Stigma of persons with disabilities in South Africa: Uncovering pathways from discrimination to depression and low self-esteem

Trani, J., Moodley, J., Anand, P., Graham, L., & Maw, M. T. T. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113449 · Cited by 93 · see citing works

Controlled Direct and Mediated Effects: Definition, Identification and Bounds

VanderWeele, T. J. (2010) · Scandinavian Journal of Statistics · doi:10.1111/j.1467-9469.2010.00722.x · Cited by 92 · see citing works

Targeted Maximum Likelihood Estimation of Natural Direct Effects

Zheng, W., & van der Laan, M. J. (2012) · The International Journal of Biostatistics · doi:10.2202/1557-4679.1361 · Cited by 91 · see citing works

The role of non-cognitive skills in farmers' adoption of climate change mitigation measures

Kreft, C. S., Huber, R., Wuepper, D., & Finger, R. (2021) · Ecological Economics · doi:10.1016/j.ecolecon.2021.107169 · Cited by 89 · see citing works

Quantification of Bias in Direct Effects Estimates Due to Different Types of Measurement Error in the Mediator

le Cessie, S., Debeij, J., Rosendaal, F. R., Cannegieter, S. C., & Vandenbroucke, J. P. (2012) · Epidemiology · doi:10.1097/ede.0b013e318254f5de · Cited by 81 · see citing works

The Selection of Talent: Experimental and Structural Evidence from Ethiopia

Abebe, G., Caria, S. A., & Ortiz-Ospina, E. (2021) · American Economic Review · doi:10.1257/aer.20190586 · Cited by 73 · see citing works

A Tutorial in Bayesian Potential Outcomes Mediation Analysis

Miočević, M., González, O., Valente, M. J., & MacKinnon, D. P. (2017) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2017.1342541 · Cited by 70 · see citing works

The Gap-Closing Estimand: A Causal Approach to Study Interventions That Close Disparities Across Social Categories

Lundberg, I. (2022) · Sociological Methods & Research · doi:10.1177/00491241211055769 · Cited by 69 · see citing works

A principled approach to mediation analysis in perinatal epidemiology

Ananth, C. V., & Brandt, J. S. (2022) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.10.028 · Cited by 69 · see citing works

Parental socioeconomic status and soft drink consumption of the child. The mediating proportion of parenting practices

Coen, V. D., Vansteelandt, S., Maes, L., Huybrechts, I., Bourdeaudhuij, I. D., & Vereecken, C. A. (2012) · Appetite · doi:10.1016/j.appet.2012.03.024 · Cited by 69 · see citing works

Human Chorionic Gonadotropin Partially Mediates Phthalate Association With Male and Female Anogenital Distance

Adibi, J. J., Lee, M. K., Naimi, A. I., Barrett, E. S., Nguyen, R. H. N., Sathyanarayana, S., Zhao, Y., Thiet, M.-P., Redmon, J. B., & Swan, S. H. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2370 · Cited by 63 · see citing works

Consumption of sugar-sweetened beverages and type 2 diabetes incidence in Thai adults: results from an 8-year prospective study

Papier, K., D’Este, C. A., Bain, C., Banwell, C. L., Seubsman, S., Sleigh, A. C., & Jordan, S. J. (2017) · Nutrition and Diabetes · doi:10.1038/nutd.2017.27 · Cited by 63 · see citing works

Mendelian randomization analysis of case‐control data using structural mean models

Bowden, J., & Vansteelandt, S. (2010) · Statistics in Medicine · doi:10.1002/sim.4138 · Cited by 55 · see citing works

Revisiting g-estimation of the Effect of a Time-varying Exposure Subject to Time-varying Confounding

Vansteelandt, S., & Sjölander, A. (2016) · Epidemiologic Methods · doi:10.1515/em-2015-0005 · Cited by 55 · see citing works

Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model

Martinussen, T., Vansteelandt, S., Gerster, M., & Hjelmborg, J. (2011) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2011.00782.x · Cited by 49 · see citing works

The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?

Daniel, R., Stavola, B. L. D., & Vansteelandt, S. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw227 · Cited by 59 · see citing works

Estimating the causal effect of water scarcity on the groundwater use efficiency of rice farming in South India

Varghese, S. K., Veettil, P. C., Speelman, S., Buysse, J., & Huylenbroeck, G. V. (2012) · Ecological Economics · doi:10.1016/j.ecolecon.2012.10.005 · Cited by 50 · see citing works

Bayesian Inference for the Causal Effect of Mediation

Daniels, M. J., Roy, J. A., Kim, C., Hogan, J. W., & Perri, M. G. (2012) · Biometrics · doi:10.1111/j.1541-0420.2012.01781.x · Cited by 47 · see citing works

Causal Mediation Analysis With Observational Data: Considerations and Illustration Examining Mechanisms Linking Neighborhood Poverty to Adolescent Substance Use

Rudolph, K. E., Goin, D. E., Paksarian, D., Crowder, R. R., Merikangas, K. R., & Stuart, E. A. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwy248 · Cited by 44 · see citing works

Identification of operating mediation and mechanism in the sufficient-component cause framework

Suzuki, E., Yamamoto, E., & Tsuda, T. (2011) · European Journal of Epidemiology · doi:10.1007/s10654-011-9568-3 · Cited by 41 · see citing works

Integrating Multi-Omics with environmental data for precision health: A novel analytic framework and case study on prenatal mercury induced childhood fatty liver disease

Goodrich, J. A., Wang, H., Jia, Q., Stratakis, N., Zhao, Y., Maître, L., Bustamante, M., Vafeiadi, M., Aung, M. T., Andrušaitytė, S., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.108930 · Cited by 38 · see citing works

The role of work ability in the relationship between aerobic capacity and sick leave: a mediation analysis

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Continued drug use during methadone treatment in China: A retrospective analysis of 19,026 service users

Sullivan, S. G., Wu, Z., Cao, X., Liu, E., & Detels, R. (2013) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2013.12.004 · Cited by 34 · see citing works

Mediation analysis for count and zero-inflated count data

Cheng, J., Cheng, N. F., Guo, Z., Gregorich, S. E., Ismail, A. I., & Gansky, S. A. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280216686131 · Cited by 34 · see citing works

Mediation Analysis With Multiple Versions of the Mediator

VanderWeele, T. J. (2012) · Epidemiology · doi:10.1097/ede.0b013e31824d5fe7 · Cited by 34 · see citing works

Economic Shocks and the Development of Immigration Attitudes

Laaker, D. (2023) · British Journal of Political Science · doi:10.1017/s000712342300011x · Cited by 33 · see citing works

A Regression-with-Residuals Method for Estimating Controlled Direct Effects

Zhou, X., & Wodtke, G. T. (2018) · Political Analysis · doi:10.1017/pan.2018.53 · Cited by 29 · see citing works

Distribution-Free Mediation Analysis for Nonlinear Models with Confounding

Albert, J. M. (2012) · Epidemiology · doi:10.1097/ede.0b013e31826c2bb9 · Cited by 31 · see citing works

Estimation of Direct and Indirect Effects

Vansteelandt, S. (2012) · Wiley series in probability and statistics · doi:10.1002/9781119945710.ch11 · Cited by 30 · see citing works

Stigma of persons with disabilities in Afghanistan: Examining the pathways from stereotyping to mental distress

Trani, J., Ballard, E., & Peña, J. B. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.02.024 · Cited by 29 · see citing works

The Political Legacy of American SlaveryPreprint

Acharya, A. R., Blackwell, M., & Sen, M. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2538616 · Cited by 27 · see citing works

Regression-With-Residuals Estimation of Marginal Effects: A Method of Adjusting for Treatment-Induced Confounders That may also be Effect Modifiers

Wodtke, G. T., Alaca, Z., & Zhou, X. (2019) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12497 · Cited by 26 · see citing works

Linear Regression

Vittinghoff, E., Glidden, D. V., SHIBOSKI, S. C., & McCulloch, C. E. (2012) · Statistics in the health sciences · doi:10.1007/978-1-4614-1353-0_4 · Cited by 25 · see citing works

Structural equation modeling versus marginal structural modeling for assessing mediation in the presence of posttreatment confounding.

Moerkerke, B., Loeys, T., & Vansteelandt, S. (2015) · Psychological Methods · doi:10.1037/a0036368 · Cited by 25 · see citing works

Childhood Psychological Distress as a Mediator in the Relationship Between Early-Life Social Disadvantage and Adult Cardiometabolic Risk: Evidence From the 1958 British Birth Cohort

Winning, A., Glymour, M. M., McCormick, M. C., Gilsanz, P., & Kubzansky, L. D. (2016) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000409 · Cited by 24 · see citing works

Trend for decreasing Multiple Sclerosis Severity Scores (MSSS) with increasing calendar year of enrollment into the New York State Multiple Sclerosis Consortium

Kister, I., Chamot, E., Bacon, J. H., Cutter, G., & Herbert, J. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458510396269 · Cited by 23 · see citing works

Estimation of Controlled Direct Effects in Longitudinal Mediation Analyses with Latent Variables in Randomized Studies

Loh, W. W., Moerkerke, B., Loeys, T., Poppe, L., Crombez, G., & Vansteelandt, S. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1681251 · Cited by 20 · see citing works

Attendance, Completion, and Heterogeneous Returns to College: A Causal Mediation Approach

Zhou, X. (2022) · Sociological Methods & Research · doi:10.1177/00491241221113876 · Cited by 23 · see citing works

Residual Balancing: A Method of Constructing Weights for Marginal Structural Models

Zhou, X., & Wodtke, G. T. (2020) · Political Analysis · doi:10.1017/pan.2020.2 · Cited by 21 · see citing works

Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models

Vansteelandt, S. (2010) · Biometrika · doi:10.1093/biomet/asq053 · Cited by 21 · see citing works

Seeds of Mobilization

Cho, J. (2023) · University of Michigan Press eBooks · doi:10.3998/mpub.12738649 · Cited by 20 · see citing works

A Viable Alternative When Propensity Scores Fail: Evaluation of Inverse Propensity Weighting and Sequential G-Estimation in a Two-Wave Mediation Model

Valente, M. J., MacKinnon, D. P., & Mazza, G. L. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1614429 · Cited by 20 · see citing works

Parental Obesity and Offspring Pubertal Development: Project Viva

Aris, I. M., Rifas‐Shiman, S. L., Li, L., Fleisch, A. F., Hivert, M., Kramer, M. S., & Oken, E. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2019.08.029 · Cited by 20 · see citing works

Mediation Analysis

Huber, M. (2020) · Springer eBooks · doi:10.1007/978-3-319-57365-6_162-1 · Cited by 21 · see citing works

Why Does Ethnic Partition Foster Violence? Unpacking the Deep Historical Roots of Civil Conflicts

Ito, G. (2019) · Journal of Peace Research · doi:10.1177/0022343320957377 · Cited by 19 · see citing works

Gender issues in myopia: a changing paradigm in generations

Enthoven, C. A., Haarman, A. E. G., Swierkowska, J., Tideman, J. W. L., Polling, J. R., Raat, H., Verhoeven, V. J. M., Labrecque, J. A., & Klaver, C. C. W. (2024) · European Journal of Epidemiology · doi:10.1007/s10654-024-01163-z · Cited by 19 · see citing works

Estimation of Controlled Direct Effects in the Presence of Exposure-Induced Confounding and Latent Variables

Loeys, T., Moerkerke, B., Raes, A., Rosseel, Y., & Vansteelandt, S. (2014) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.915372 · Cited by 19 · see citing works

Maternal pre‐pregnancy body mass index, gestational weight gain, and pubertal timing in daughters: A systematic review and meta‐analysis of cohort studies

Zhou, J., Zhang, F., Zhang, S., Li, P., Qin, X., Yang, M., Teng, Y., & Huang, K. (2022) · Obesity Reviews · doi:10.1111/obr.13418 · Cited by 21 · see citing works

Identification and Efficient Estimation of the Natural Direct Effect among the Untreated

Lendle, S., Subbaraman, M. S., & van der Laan, M. J. (2013) · Biometrics · doi:10.1111/biom.12022 · Cited by 18 · see citing works

Group membership and certification effects on incomes of coffee farmers in Uganda

Ssebunya, B. R., Morawetz, U. B., Schader, C., Stolze, M., & Schmid, E. (2018) · European Review of Agricultural Economics · doi:10.1093/erae/jby022 · Cited by 18 · see citing works

Moderation and Mediation in Interindividual Longitudinal Analysis

Krull, J. L., Cheong, J., Fritz, M. S., & MacKinnon, D. P. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy121 · Cited by 18 · see citing works

Causal Mediation Analysis in the Presence of Post-treatment Confounding Variables: A Monte Carlo Simulation Study

Kisbu‐Sakarya, Y., MacKinnon, D. P., Valente, M. J., & Çetinkaya, E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02067 · Cited by 19 · see citing works

Teach to comply? Evidence from a taxpayer education program in Rwanda

Mascagni, G., Santoro, F., & Mukama, D. (2024) · International Tax and Public Finance · doi:10.1007/s10797-023-09809-6 · Cited by 17 · see citing works

Left Truncation Bias to Explain the Protective Effect of Smoking on Preeclampsia

Kinlaw, A. C., Buckley, J. P., Engel, S. M., Poole, C., Brookhart, M. A., & Keil, A. P. (2017) · Epidemiology · doi:10.1097/ede.0000000000000632 · Cited by 17 · see citing works

Estimating controlled direct effects in the presence of intermediate confounding of the mediator–outcome relationship: Comparison of five different methods

Lepage, B., Dedieu, D., Savy, N., & Lang, T. (2012) · Statistical Methods in Medical Research · doi:10.1177/0962280212461194 · Cited by 16 · see citing works

Destruction from Above: Long-Term Legacies of the Tokyo Air Raids

Harada, M., Ito, G., & Smith, D. M. (2023) · The Journal of Politics · doi:10.1086/726942 · Cited by 15 · see citing works

Instrumental variable analysis of multiplicative models with potentially invalid instruments

Shardell, M. D., & Ferrucci, L. (2016) · Statistics in Medicine · doi:10.1002/sim.7069 · Cited by 15 · see citing works

How effective is reducing traffic speed for safer work zones? Methodology and a case study in Pennsylvania

Zhang, Z., Akinci, B., & Qian, S. (2023) · Accident Analysis & Prevention · doi:10.1016/j.aap.2023.106966 · Cited by 14 · see citing works

Causation and causal inference for genetic effects

Vansteelandt, S., & Lange, C. (2012) · Human Genetics · doi:10.1007/s00439-012-1208-9 · Cited by 14 · see citing works

Estimating causal contrasts involving intermediate variables in the presence of selection bias

Valeri, L., & Coull, B. A. (2016) · Statistics in Medicine · doi:10.1002/sim.7025 · Cited by 14 · see citing works

The Long Shadow of Agrarian Conflict: Agrarian Inequality and Voting in Spain

Domènech, J., & Sánchez-Cuenca, I. (2021) · British Journal of Political Science · doi:10.1017/s0007123421000387 · Cited by 14 · see citing works

Estimating the mediating effect of different biomarkers on the relation of alcohol consumption with the risk of type 2 diabetes

Beulens, J. W. J., van der Schouw, Y. T., Moons, K. G. M., Boshuizen, H. C., van der A, D. L., & Groenwold, R. H. H. (2013) · Annals of Epidemiology · doi:10.1016/j.annepidem.2012.12.014 · Cited by 13 · see citing works

Approches d’analyse causale en épidémiologie

Dumas, O., Siroux, V., Moual, N. L., & Varraso, R. (2014) · Revue d Épidémiologie et de Santé Publique · doi:10.1016/j.respe.2013.09.002 · Cited by 13 · see citing works

A Simulation Study on the Estimation of the Effect in the Hypothetical Scenario of No Use of Symptomatic Treatment in Trials for Disease-Modifying Agents for Alzheimer’s Disease

Lasch, F., Guizzaro, L., Pétavy, F., & Gallo, C. (2022) · Statistics in Biopharmaceutical Research · doi:10.1080/19466315.2022.2055633 · Cited by 12 · see citing works

G-Estimation of Structural Nested Models: Recent Applications in Two Subfields of Epidemiology

Picciotto, S., & Neophytou, A. M. (2016) · Current Epidemiology Reports · doi:10.1007/s40471-016-0081-9 · Cited by 12 · see citing works

Bias Formulas for Estimating Direct and Indirect Effects When Unmeasured Confounding Is Present

le Cessie, S. (2015) · Epidemiology · doi:10.1097/ede.0000000000000407 · Cited by 12 · see citing works

Estimators for handling COVID ‐19‐related intercurrent events with a hypothetical strategy

Lasch, F., & Guizzaro, L. (2022) · Pharmaceutical Statistics · doi:10.1002/pst.2244 · Cited by 11 · see citing works

The importance of considering competing treatment affecting prognosis in the evaluation of therapy in trials: the example of renal transplantation in hemodialysis trials

Hazelbag, C. M., Peters, S. A. E., Blankestijn, P. J., Bots, M. L., Canaud, B., Davenport, A., Grooteman, M. P. C., Kırçelli, F., Locatelli, F., Maduell, F., et al. (2016) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfw458 · Cited by 11 · see citing works

Does Relative Deprivation in School During Adolescence Get Under the Skin? A Causal Mediation Analysis from the Life Course Perspective

Park, K. (2020) · Social Indicators Research · doi:10.1007/s11205-020-02558-7 · Cited by 11 · see citing works

Subtleties of explanatory language: what is meant by “mediation”?

VanderWeele, T. J. (2011) · European Journal of Epidemiology · doi:10.1007/s10654-011-9588-z · Cited by 10 · see citing works

Fixed Effects and Post-Treatment Bias in Legacy StudiesPreprint

Homola, J., Pereira, M. M., & Tavits, M. (2020) · doi:10.31219/osf.io/b945a · Cited by 10 · see citing works

Estimating Reductions in Ethnic Inequalities in Child Adiposity from Hypothetical Diet, Screen Time, and Sports Participation Interventions

Lara, M., Labrecque, J. A., van Lenthe, F. J., & Voortman, T. (2020) · Epidemiology · doi:10.1097/ede.0000000000001221 · Cited by 9 · see citing works

Direct Genetic Effects and Their Estimation From Matched Case‐Control Data

Berzuini, C., Vansteelandt, S., Foco, L., Pastorino, R., & Bernardinelli, L. (2012) · Genetic Epidemiology · doi:10.1002/gepi.21660 · Cited by 9 · see citing works

Tom Ten Have's contributions to causal inference and biostatistics: review and future research directions

Small, D. S., Joffe, M. M., Lynch, K. G., Roy, J., & Localio, A. R. (2012) · Statistics in Medicine · doi:10.1002/sim.5708 · Cited by 8 · see citing works

Estimation of Controlled Direct Effects

Goetgeluk, S., Vansteelandt, S., & Goetghebeur, E. (2008) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2008.00673.x · Cited by 104 · see citing works

Estimation of Controlled Direct Effects in the Presence of Exposure-Induced Confounding and Latent Variables

Loeys, T., Moerkerke, B., Raes, A., Rosseel, Y., & Vansteelandt, S. (2014) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.915372 · Cited by 19 · see citing works

Estimating controlled direct effects in the presence of intermediate confounding of the mediator–outcome relationship: Comparison of five different methods

Lepage, B., Dedieu, D., Savy, N., & Lang, T. (2012) · Statistical Methods in Medical Research · doi:10.1177/0962280212461194 · Cited by 16 · see citing works

Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models

Vansteelandt, S. (2010) · Biometrika · doi:10.1093/biomet/asq053 · Cited by 21 · see citing works

Estimation of a controlled direct effect when an effect of the exposure confounds the mediator-outcome relationship: a comparison of different methods.

Lepage, B., Dedieu, D., Savy, N., & Lang, T. (2016) · HAL