Monitoring patient survival times in surgical systems using a risk-adjusted AFT regression chart

References

• Asadzadeh, S., Aghaie, A., & Niaki, S. T. A. (2013). AFT regression-adjusted monitoring of reliability data in cascade processes. Quality & Quantity, 47, 3349–3362.
   Web of Science ®Google Scholar
• Biswas, P., & Kalbfleisch, J. D. (2008). A risk-adjusted CUSUM in continuous time based on the Cox model. Statistics in Medicine, 27, 3382–3406.10.1002/sim.v27:17
   PubMed Web of Science ®Google Scholar
• Cook, R. J., Steiner, S. H., Farewell, V. T., & Treasure, T. (2000). Monitoring surgical performance using risk-adjusted cumulative sum charts. Biostatistics, 1, 441–452.
   Google Scholar
• Crawley, M. J. (2012). The R book. New York, NY: Wiley.10.1002/9781118448908
   Google Scholar
• Grigg, O. A., Farewell, V. T., & Spiegelhalter, D. J. (2003). Use of risk-adjusted CUSUM and RSPRT charts for monitoring in medical contexts. Statistical Methods in Medical Research, 12, 147–170.
   PubMed Web of Science ®Google Scholar
• Grigg, O. A., & Spiegelhalter, D. J. (2007). A simple risk-adjusted exponentially weighted moving average. Journal of the American Statistical Association, 102, 140–152.10.1198/016214506000001121
   Web of Science ®Google Scholar
• Hart, G. K., Mullany, D., Cook, D. A., Pilcher, D., & Duke, G. (2008). Review of the application of risk-adjusted charts to analyse mortality outcomes in critical care. Critical Care and Resuscitation, 10, 239–251.
   PubMedGoogle Scholar
• Kay, R., & Kinnersley, N. (2002). On the use of the accelerated failure time model as an alternative to the proportional hazards model in the treatment of time to event data: A case study in influenza. Drug Information Journal, 36, 571–579.
   Google Scholar
• Keiding, N., Andersen, P. K., & Klein, J. P. (1997). The role of frailty models and accelerated failure time models in describing heterogeneity due to omitted covariates. Statistics in Medicine, 16, 215–224.10.1002/(ISSN)1097-0258
   PubMed Web of Science ®Google Scholar
• Klein, J. P., & Moeschberger, M. L. (2005). Survival analysis: Techniques for censored and truncated data. Chicago, IL: Springer Science & Business Media.
   Google Scholar
• Lambert, P., Collett, D., Kimber, A., & Johnson, R. (2004). Parametric accelerated failure time models with random effects and an application to kidney transplant survival. Statistics in Medicine, 23, 3177–3192.10.1002/(ISSN)1097-0258
   PubMed Web of Science ®Google Scholar
• Loke, C. K., & Gan, F. F. (2012). Joint monitoring scheme for clinical failures and predisposed risks. Quality Technology and Quantitative Management, 9, 3–21.10.1080/16843703.2012.11673274
   Web of Science ®Google Scholar
• Mohammadian, F., Niaki, S. T. A., & Amiri, A. (2016, February). Phase-I risk-adjusted geometric control charts to monitor health-care systems. Quality and Reliability Engineering International, 32, 19–28.
   Web of Science ®Google Scholar
• Parsonnet, V., Dean, D., & Bernstein, A. D. (1989). A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. Circulation, 79(6 Pt 2), I3–12.
   PubMed Web of Science ®Google Scholar
• Paynabar, K., Jionghua, J., & Yeh, A. B. (2012). Phase I risk-adjusted control charts for monitoring surgical performance by considering categorical covariates. Journal of Quality Technology, 44, 39–53.
   Web of Science ®Google Scholar
• Pagel, C., Utley, M., Crowe, S., Witter, T., Anderson, D., Samson, R., & Brown, K. (2013). Real time monitoring of risk-adjusted paediatric cardiac surgery outcomes using variable life-adjusted display: Implementation in three UK centres. Heart, 99, 1445–1450.10.1136/heartjnl-2013-303671
   Web of Science ®Google Scholar
• Sego, L. H., Reynolds, M. R., & Woodall, W. H. (2009). Risk-adjusted monitoring of survival times. Statistics in Medicine, 28, 1386–1401.10.1002/sim.v28:9
   PubMed Web of Science ®Google Scholar
• Steiner, S. H., Cook, R. J., Farewell, V. T., & Treasure, T. (2000). Monitoring surgical performance using risk-adjusted cumulative sum charts. Biostatistics, 1, 441–452.10.1093/biostatistics/1.4.441
   PubMedGoogle Scholar
• Steiner, S. H., & Jones, M. (2010). Risk-adjusted survival time monitoring with an updating exponentially weighted moving average (EWMA) control chart. Statistics in Medicine, 29, 444–454.
   PubMed Web of Science ®Google Scholar
• Woodall, W. H. (2006). The use of control charts in health-care and public-health surveillance. Journal of Quality Technology, 38, 89–104.
   Web of Science ®Google Scholar
• Zhang, L., Gan, F. F., & Loke, C. (2012). Phase I study of surgical performances with risk-adjusted Shewhart control charts. Quality Technology and Quantitative Management, 9, 375–382.10.1080/16843703.2012.11673299
   Web of Science ®Google Scholar