Causal Inference from Complex Longitudinal Data

A New Approach To Causal Inference in Mortality Studies With a Sustained Exposure Period - Application To Control of the Healthy Worker Survivor Effect

Robins, J. (1986) · Mathematical Modelling · doi:10.1016/0270-0255(86)90088-6 · Cited by 2,451 · see citing works

Causal diagrams for empirical research

PEARL, J. (1995) · Biometrika · doi:10.1093/biomet/82.4.669 · Cited by 2,355 · cited 4× · see citing works

A structural approach to selection bias

Hernán, M. A., Hernández-Díaz, S., & Robins, J. M. (2004) · Epidemiology · doi:10.1097/01.ede.0000135174.63482.43 · Cited by 2,844 · see citing works

Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology

Hernan, M. A. (2002) · American Journal of Epidemiology · doi:10.1093/aje/155.2.176 · Cited by 1,445 · see citing works

Confounding and Collapsibility in Causal Inference

Greenland, S., Pearl, J., & Robins, J. M. (1999) · Statistical Science · doi:10.1214/ss/1009211805 · Cited by 933 · see citing works

Mendelian randomization as an instrumental variable approach to causal inference

Didelez, V., & Sheehan, N. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206077743 · Cited by 923 · see citing works

Comparative quantification of health risks conceptual framework and methodological issues

Murray, C. J., Ezzati, M., Lopez, A. D., Rodgers, A., & Vander Hoorn, S. (2003) · Population Health Metrics · doi:10.1186/1478-7954-1-1 · Cited by 887 · see citing works

THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA

Winship, C., & Morgan, S. L. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.659 · Cited by 890 · see citing works

Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log‐Rank Tests

Robins, J. M., & Finkelstein, D. M. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00779.x · Cited by 877 · see citing works

Causal Effects in Clinical and Epidemiological Studies Via Potential Outcomes: Concepts and Analytical Approaches

Little, R. J., & Rubin, D. B. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.121 · Cited by 721 · see citing works

Leakage in data mining: Formulation, detection, and avoidance

Kaufman, S., Rosset, S., Perlich, C., & Stitelman, O. (2012) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/2382577.2382579 · Cited by 791 · see citing works

A Conceptual Framework for Adaptive Preventive Interventions

Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science · doi:10.1023/b:prev.0000037641.26017.00 · Cited by 608 · see citing works

A New Criterion for Confounder Selection

VanderWeele, T. J., & Shpitser, I. (2011) · Biometrics · doi:10.1111/j.1541-0420.2011.01619.x · Cited by 434 · see citing works

Marginal Mean Models for Dynamic Regimes

Murphy, S. A., van der Laan, M. J., Robins, J. M., & Conduct Problems Prevention Research Group (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753382327 · Cited by 393 · see citing works

On the definition of a confounder

VanderWeele, T. J., & Shpitser, I. (2013) · The Annals of Statistics · doi:10.1214/12-aos1058 · Cited by 268 · see citing works

Influence Diagrams for Causal Modelling and Inference

Dawid, A. P. (2002) · International Statistical Review · doi:10.1111/j.1751-5823.2002.tb00354.x · Cited by 230 · 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

Assessing time-varying causal effect moderation in mobile health

Boruvka, A., Almirall, D., Witkiewitz, K., & Murphy, S. A. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1305274 · Cited by 152 · see citing works

The role of leisure crafting for emotional exhaustion in telework during the COVID-19 pandemic

Abdel Hadi, S., Bakker, A. B., & Häusser, J. A. (2021) · Anxiety, Stress, & Coping · doi:10.1080/10615806.2021.1903447 · Cited by 139 · see citing works

Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer

Wang, L., Rotnitzky, A., Lin, X., Millikan, R. E., & Thall, P. F. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2011.641416 · Cited by 108 · see citing works

Sequential Multiple Assignment Randomized Trial (SMART) with Adaptive Randomization for Quality Improvement in Depression Treatment Program

Cheung, Y. K., Chakraborty, B., & Davidson, K. W. (2015) · Biometrics · doi:10.1111/biom.12258 · Cited by 55 · see citing works

Causal Analysis in the Health Sciences

Greenland, S. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473924 · Cited by 61 · see citing works

Understanding Marginal Structural Models for Time-Varying Exposures: Pitfalls and Tips

Shinozaki, T., & Suzuki, E. (2020) · Journal of Epidemiology · doi:10.2188/jea.je20200226 · Cited by 44 · see citing works

Screening Experiments for Developing Dynamic Treatment Regimes

Murphy, S. A., & Bingham, D. (2009) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.0119 · Cited by 41 · see citing works

Confounding Equivalence in Causal Inference

Pearl, J., & Paz, A. (2014) · Journal of Causal Inference · doi:10.1515/jci-2013-0020 · Cited by 2 · see citing works