Vanessa Didelez
Recommended Reading
• Husmeier, Dybowski, Roberts (2005). Probabilistic modelling in
bioinformatics and medical informatics. Springer - chapters 2 and 8.
Pearl (2000). Causality - models, reasoning and inference. Cambridge
University Press
• ****Didelez, Sheehan (2007). Mendelian randomisation as an instrumental
variable approach to causal inference. Statistical Methods in Medical
Research vol: 16 , Pages: 309 - 330

Arvid Sjolander
Recommended Reading
• Pearl J. Causal Inference in Health Sciences: A Conceptual Introduction. Health Services & Outcomes Research Methodology 2001;2:89-220.
• Robins JM, Hernan MA, Brumback B. Marginal Structural Models and Causal Inference in Epidemiology. Epidemiology 2000;11(5):550-560.

Stijn Vansteelandt
Recommended Reading
• Davey Smith G, et al. Association of C-reactive protein with blood
pressure and hypertension: life course confounding and mendelian
randomization tests of causality Arterioscler Thromb Vasc Biol
2005;25:1051-1056.
• Hernán and Robins. Instruments for causal inference. An epidemiologist's dream? Epidemiology 2006; 17: 360-372
Vansteelandt, S., DeMeo, D., Su, J., Smoller, J., Murphy, A.J., McQueen,
M., Celedon, J., Weiss, S.T., Silverman, E.K. and Lange, C. (2008).
• Testing and estimating gene-environment interactions in family-based
association studies. Biometrics (online early).
Vansteelandt, S., Goetgeluk, S., Waldman, I., Lyon, H., Schadt, E.E.,
Weiss, S. and Lange, C. (2008) A general principle for the
identification of causal genetic pathways in association studies.
Technical report.
Goetghebeur E and Lapp K. The Effect of Treatment Compliance in a
Placebo-Controlled Trial: Regression with Unpaired Data. Applied
Statistics 1997; 46:351-364.