Email Address: firstname.lastname@example.org
Olivia is a post-doctoral researcher who returned to the Unit in March 2017. She obtained her PhD in Biostatistics entitled Risk-adjusted Monitoring in Medical Contexts in 2004 from King's College, Cambridge and the Unit, supervised by Professor Vern Farewell. Subsequent to this, she continued her research into the field of Statistical Process Control, holding an MRC Career Development Fellowship at the Unit in 2004-2007, working with Professor David Spiegelhalter. Her latest work in this field is in development of a method for online monitoring of Risk-adjusted Survival Outcomes, the Strand Chart, as well as further work into the Steady-State Distribution of the CUSUM control chart.
In addition to research in the field of Biostatistics, Olivia has gained experience in other areas of Applied Statistics, including work on Extremes with application to UK River Flows with Professor Jonathan Tawn at Lancaster University and on Spatial Statistics with application to Foot-and-Mouth Disease with Professor Peter Diggle, also at Lancaster University.
Currently, Olivia is working with Professor Vern Farewell on a UK Clinical Trial in Surgery on Lung Metastases following resection of Colonic Bowel Cancer. This work is in Longitudinal Data Analysis, including GEE and Cox Proportional Hazards Models with Time-Dependent Covariates. In addition she has an interest in Missing Data Analysis, since attrition is a feature of the trial dataset, with use of the Linear Increments Models of Dr. Daniel Farewell of Cardiff University.
- O Grigg. The Strand Chart: a Survival Time Control Chart [Pre-publication]. https://www.academia.edu/34344777/The_STRAND_Chart_a_Survival_Time_Control_Chart
- DJ Spiegelhalter, C Sherlaw-Johnson, M Bardsley, I Blunt, C Wood, C and O Grigg. Statistical methods for healthcare regulation: rating, screening and surveillance (with discussion). J. Roy. Statist. Soc. Ser. A 175: 1-25. DOI: 10.1111/j.1467-985X.2011.01010.x
- O Grigg and J Tawn. Threshold models for river flow extremes. Environmetrics 23(4): 295-305. DOI: 10.1002/env.2138
- O Grigg and DJ Spiegelhalter. Clinical surveillance and patient safety. In Performance Measurement for Health System Improvement: Experiences, Challenges and Prospects. Eds PC Smith, E Mossialos, I Papanicolas and S Leatherman. Cambridge University Press, Cambridge. pp 286-310. http://www.cambridge.org/gb/knowledge/isbn/item2703056/?site_locale=en_GB
- O Grigg, D Spiegelhalter and HE Jones. Local and marginal control charts applied to methicillin resistant Staphylococcus aureus bacteraemia reports in UK acute National Health Service trusts. J. Roy. Statist. Soc. Ser. A 172: 49-66. DOI: 10.1111/j.1467-985X.2008.00553.x
- O Grigg and D J Spiegelhalter. An empirical approximation to the null unbounded steady-state distribution of the CUSUM statistic. Technometrics, 50: 501-511. DOI: 10.1198/004017008000000299
- O Grigg and D J Spiegelhalter. A simple risk-adjusted exponentially weighted moving average. Journal of American Statistical Association, 102:140-152. DOI: 10.1198/016214506000001121
- O Grigg, D Spiegelhalter. Discussion of “Use of Control Charts in Health Care Monitoring and Public Health Surveillance” by WH Woodall. Journal of Quality Technology. 38: 124―126. http://asq.org/pub/jqt/past/vol38_issue2/
- O Grigg Risk-adjusted Monitoring and Smoothing in Medical Contexts. PhD Thesis, King's College, Cambridge. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599741
- O Grigg and V Farewell. An overview of risk-adjusted charts. J. Roy. Statist. Soc. Ser. A 167: 523-539. DOI: 10.1111/j.1467-985X.2004.0apm2.x
- O Grigg and V Farewell. A risk-adjusted sets method for monitoring adverse medical outcomes. Statistics in Medicine. 23: 1593-1602. DOI: 10.1002/sim.1763
- O Grigg, V Farewell and D Spiegelhalter. Use of risk-adjusted CUSUM and RSPRT charts for monitoring in medical contexts. Statistical Methods in Medical Research 12: 147-170. DOI: 10.1177/096228020301200205
- D Spiegelhalter, O Grigg, R Kinsman and T Treasure. Risk-adjusted sequential probability ratio tests: applications to Bristol, Shipman and adult cardiac surgery. Int J Qual Health Care 15: 7-13. DOI: 10.1093/intqhc/15.1.7