Additional References
- Benjamini, Y. and Hochberg, Y. (1995). “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing”. Journal of the Royal Statistical Society, Series B 57(1), pp. 289–300.
- Cook, D. A. (2004). “The Development of Risk Adjusted Control Charts and Machine Learning Models to Monitor the Mortality Rate of Intensive Care Unit Patients”. Ph.D. thesis, University of Queensland.
- Grigg, O. A. (2004). “Risk-Adjusted Monitoring and Smoothing in Medical Contexts”. Ph.D. thesis, King's College, Cambridge.
- Grigg, O. A., and Spiegelhalter, D. J. (2005). “Random-Effects CUSUMs to Monitor Hospital Mortality”. Procceedings of the 20th International Workshop on Statistical Modelling, pp. 239–246.
- Parsonnet, V.; Dean, D.; and Bernstein, A. D. (1989). “A Method of Uniform Stratification of Risks for Evaluating the Results of Surgery in Acquired Adult Heart Disease”. Circulation 779(1), pp. 1–12.