- Causality in epidemiology. Vineis P. Sozial-und Praventivmedizin; 2003
- Structural equation and log-linear modeling: a comparison of methods in the analysis of a study on caregivers’ health. Zhu Bin, Walter Stephen, et al. BMC Medical Research Methodology; 2006
- On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9. Splawa-Neyman Jerzy, Dabrowska D.M., et al. Statistical Science; 1990
- Direct Effect Models. van der Laan Mark J., Petersen Maya L. The International Journal of Biostatistics; 2009
- Marginal structural models for sufficient cause interactions. Vanderweele Tyler J., Vansteelandt Stijn, et al. American Journal of Epidemiology; 2010
- Association, Causation, And Marginal Structural Models. Robins James M. Synthese; 1999
- Association, causation, and marginal structural models. Robins James M. Synthese; 2000
- The health and well-being of caregivers of children with cerebral palsy. Raina P., O'Donnell M., et al. Pediatrics; 2005
- Caregiving process and caregiver burden: Conceptual models to guide research and practice. Raina Parminder, O'Donnell Maureen, et al. BMC Pediatrics; 2004
- What characterises a useful concept of causation in epidemiology? Olsen J. Journal of Epidemiology and Community Health; 2003
- Causal diagrams for empirical research. Pearl J. Biometrika; 1995
- Causality: models, reasoning, and inference. Pearl Judea. 2000
- Influence Diagrams–Historical and Personal Perspectives. Pearl Judea. Decision Analysis; 2005
- An introduction to causal inference. Pearl Judea. The International Journal of Biostatistics; 2010
- Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders. Kupek E. BMC Med Res Methodol.; 2006