Robinson, J. W. and Hartemink, A. J. (2010). Learning Non-Stationary Dynamic Bayesian Networks. Journal of Machine Learning Research, 11(Dec): 3647–3680.

Robinson, M. J., Erlwein, O. W., Kaye, S., Weber, J., Cingoz, O., Patel, A., Walker, M. M., Kim, W.-J. J., Uiprasertkul, M., Coffin, J. M., and McClure, M. O. (2010). Mouse DNA contamination in human tissue tested for XMRV. Retrovirology, 7: 108.

de Rooij, N. K., Linn, F. H. H., van der Plas, J. A., Algra, A., and Rinkel, G. J. E. (2007). Incidence of subarachnoid haemorrhage: A systematic review with emphasis on region, age, gender and time trends. Journal of Neurology, Neurosurgery & Psychiatry, 78(12): 1365–1372.

Roser, M. E., Fugelsang, J. A., Dunbar, K. N., Corballis, P. M., and Gazzaniga, M. S. (2005). Dissociating Processes Supporting Causal Perception and Causal Inference in the Brain. Neuropsychology, 19(5): 591–602.

Rothman, K. J. (1976). Causes. American Journal of Epidemiology, 104(6):587–592. Reprinted in 141(2), 1995.

Rothman, K. J. (1990). No Adjustments Are Needed for Multiple Comparisons. Epidemiology, 1(1): 43–46.

Rothman, K. J. and Greenland, S. (2005). Causation and Causal Inference in Epidemiology. American Journal of Public Health, 95(S1): S144–S150.

Rothwell, P. M. (2005). External validity of randomised controlled trials: “To whom do the results of this trial apply?” The Lancet, 365(9453): 82–93.

Russell, B. (1912). On the Notion of Cause. Proceedings of the Aristotelian Society, 13(1912–1913): 1–26.

Russo, F. (2006). The Rationale of Variation in Methodological and Evidential Pluralism. Philosophica, 77(1): 97–124.