Terrence E. Murphy, Ph.D.

• Associate Research Scientist

Research Interests

Dr. Murphy is a member of the biostatistics staff of the Program on Aging. With twelve years experience in the design and manufacture of clinical instrumentation and advanced training in engineering statistics, he is interested in the application of engineering tools to research on aging. Current areas of investigation include multivariate statistics for characterization of multiple co-morbidity, robust design techniques for assessing the tradeoffs of multiple medication use, and the use of spatial models, Bayesian as well as frequentist, to analyze spatial datasets such as the fall-related utilization of healthcare services by older persons in zip-code tabulation areas in the state of Connecticut .

Selected Publications

1. Murphy TE, Tsui K-L. Performance measures independent of adjustment: a general performance measure for robust design. Encyclopedia of Quality and Reliability, Section 038, Wiley, London . In Press.
2. Murphy TE, Tsui K-L, McShane-Vaugh M. Signal-to-Noise Ratio: Taguchi’s performance measure for robust design. Encyclopedia of Quality and Reliability, Section 042, Wiley, London . In Press.
3. Van Ness PH, Murphy TE, Araujo KLB, Pisani MA, Allore HG. The use of missingness-screens in clinical epidemiological research has implications in model fitting. Journal of Clinical Epidemiology. In Press.<
4. Pisani MA, Murphy TE, Van Ness PH, Araujo KLB, Inouye SK. Admission characteristics associated with delirium in older patients in a medical intensive care unit. Archives of Internal Medicine.In Press.
5. Jiang W, Murphy TE, Tsui K-L., Statistical methods for quality and productivity improvement. Springer Handbook of Engineering Statistics 2006, Chapter 10. ISBN: 1-85233-806-7.
6. Yang Z, Chen, VCP, Chang , ME , Murphy,TE, Tsai JCC. Mining and modeling for a metropolitan Atlanta ozone pollution decision-making framework. IIE Transactions, Special Issue on Data Mining, COSMOS technical report 04-2006.
7. Murphy TE, Van Ness PH,Peduzzi P, Tinetti ME, Allore HG. Mapping usefulness of clinical outcomes: the desirability function. Proceedings of the Joint Statistical Meetings in Seattle , 2006.
8. Allore HG, Murphy, TE. Designing standardly-tailored multi-component intervention trials in medicine to yield unbiased effect estimates. Proceedings of the Joint Statistical Meetings in Seattle , 2006.
9. Murphy TE, Tsui, K-L, Allen, JK. A review of robust design methods for multiple responses. Research in Engineering Design; 2004: 201-215.