Roland Ramsahai

Research Associate
Statistical Laboratory, DPMMS
University of Cambridge
Wilberforce Road
Cambridge CB3 0WB, UK

Email: R.Ramsahai[at]statslab.cam.ac.uk

I am also Honorary Research Fellow at Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine.

Research Interests

Causal inference, Graphical models, Computational matching methods.

Academic Background

• Oct 2005 - Dec 2008 : DPhil Statistics, University of Oxford.
• Oct 2004 - Sep 2005 : MSc Statistics, University College London.
• Sep 2001 - Jun 2004 : BSc Actuarial Science, City University London.

Publications

• Ramsahai, R.R. (2012). Probabilistic causality and detecting collections of interdependence patterns. Journal of the Royal Statistical Society, Ser. B. (In press)
• Ramsahai, R.R. (2012). Supplementary variables for causal estimation. In Causal Inference: Statistical Perspectives and Applications (ed. C. Berzuini, A.P. Dawid, L. Bernardinelli). Wiley and Sons.
• Ramsahai, R.R. (2012). Causal bounds and observable constraints for non-deterministic models. Journal of Machine Learning Research. 13, 829-848.
• Ramsahai, R.R. and Lauritzen, S.L. (2011). Likelihood analysis of the binary instrumental variable model. Biometrika. 98, 987-944.
• Palmer, T.M., Ramsahai, R.R., Didelez, V. and Sheehan, N.A. (2011). Nonparametric bounds for the causal effect in a binary instrumental variable model. The Stata Journal. 11, 345-367.
• Ramsahai, R.R. (2007). Causal bounds and instruments. In Proceedings of the 23rd Annual Conference on Uncertainty in Artifical Intelligence, 310-317.

• Palmer, T.M., Ramsahai, R.R., Lawlor, D.A., Sheehan, N.A. and Didelez, V. (2012). RE: Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions. Letter to American Journal of Epidemiology.
• Kreif, N., Grieve, R., Sadique, Z., Radice, R., Ramsahai, R.R. and Sekhon, J.S. (2012). Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data. Medical Decision Making. (In press)
• Radice, R., Ramsahai, R.R., Grieve, R., Kreif, N., Sadique, Z. and Sekhon, J.S. (2012). Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach. The International Journal of Biostatistics. 8 (1), 25.
• Ramsahai, R.R., Grieve, R. and Sekhon, J.S. (2011). Extending iterative matching methods: an approach to improving covariate balance that allows prioritisation. Health Services and Outcomes Research Methodology. 11, 95-114.

Ramsahai, R.R. (2008). Causal inference with instruments and other supplementary variables. DPhil Thesis, University of Oxford.