Office location 6.09b Business School, Manchester Campus
Office hours Monday 11-12am and 12-1pm
Who am I?
Who am I?
Xin is a Reader in Applied Statistics at Manchester Metropolitan University Business School. Dr Shi has been awarded for Chartered Statistician by the Royal Statistical Society UK. During 2007 to 2009, he was working as a postdoc in the direction of evidence-based medicine in the medical school of University of Sheffield, UK. Meanwhile, he worked as an research assistant in social statistics in the University of Manchester.
His research areas covers business analytics, health big data, personalised health management, life course modelling. xin has expertise on survival modelling, generalized linear models, Meta-analysis, Evidence synthesis analysis, longitudinal data, time series, decision models, health economics, and optimization theory. The applications can be found in prognostic health management, medical science, population health management, sports and health, and management of own business. In the last 5 years, Xin has been awarded a several research grant from external and internal research bodies on business analytics. Currently he is the co-investigator of a £200k research project funded by National Nature Science Funder Council in China (NSFC) to investigate the population health management and risk analysis cross the worldwide.
Other academic service (administration and management)
Director of DBA Lead for Faculty International for China Guest Professor, Beijing University of Aeronautics and Astronautics in China (Top 10 of 2000 universities in China) Editorial board member, International Journal of Data Analysis Techniques and Strategies Graduate Fellow, The Royal Statistical Society UK Fellow, Operations Research Society of China Fellow, American Statistical Society Teaching on EQA (UG). DBA on Quantitative methods on 2014
Research Expertise, Publications & Grants
Statistical modelling to detect the early signal for advanced disease, particularly on survival analysis for cancer based on screening programme;
Conditional based maintenance model as evidence study using big clinical and lifestyle data;
Prognostics Health Management for British and Chinese;
Population Health Risk Assessment and Management.
Business analytics research methodologies
Longitudinal data analysis in business and social science;
Statistical modelling match outcomes for the decision-making in test cricket;
Analysing the impacts of health on employment and physical fitness on quality of the life (QOL)
Evaluation the impacts of learning mathematics for social science students at University level and lifetime learning;
Match outcome modelling and decision-making in sports. (Modelling match outcomes; Performance measurement; Tournament design; Dynamic game theory in sport; Modelling the coach/athlete interface; Optimization of training schedules; Applications in football, cycling, athletics, cricket, orienteering and mountain running.);
Statistical analysis in evidence synthesis in health care. (Mixed treatment comparisons using Bayesian statistics; Cost-effectiveness analysis using Bootstrapping method; Application in diabetes, lung cancer, heart disease.);
Public health associated with social sport.
Human Health Management & Life/Disease Risk Assessment (2014), 2,000,000RMB, CI, sponsored by National Natural Science Foundation of China (NSFC);
Learning Math in Accounting and Finance Course (2010), £3500,PI, sponsored by Higher Education Agent;
Three RIMB small grants (2010-2013).
Potential PhD Research Areas
Human well-being assessment and life/risk prediction in Britain This project is intending to undertake the research of the impacts of human behaviour, environment, social economic status, aging and life styles on human well-being in Britain. It is essential to identify these factors of and estimate their relationships on human well-being. Human well-being becomes more essential since human's stresses are much more increasing from such as family, work, and society in the last decade. However, there is rare on quantifying the impacts and the risk of those factors on human well-being. The student appointed will develop models of human well-being assessment with those variables using British Household Panel Data (BHPS). BHPS is a longitudinal survey study which was conducted in Britain on 1991. The student is expected to develop a model to effectively monitor, prevent the risk, predict life and implement human well-being using the longitudinal data. The research questions could : What are the risk factors of influencing human well-being? How do those risk factors influence human well-being? What are the implications of this research on the policy decision-making?
The dynamic financial early-warning models and managerial strategies for British Small and Medium Enterprises (SMEs) This project is intending to undertake the research of developing financial early-warning models to effectively assist SME's managerial strategies and decision-making. The Small and Medium Enterprises (SMEs) are pivotal to the Britain's economic recovery as the SMEs make approximately 40% of GDP (ONS, 2012). The SMEs always have more financial risk than that of the large companies due to the uncertainty of the external environment, e.g. financial crisis, and the limitations of SMEs. Consequently, investors and creditors could make a huge loss. Therefore, the healthy development of SMEs is the main key for the overall economic recovery in the UK. The most of recent research has ignored the one of the main features of the financial data-time series. The appointed student is expecting to handle SMEs' financial data which has the dynamic, time series and dependent character, and estimate models which would be able to help SMEs to detect the early signals for the potential financial crisis and support the managerial decision-making. This research will use FAME database.The aims of this research are: 1)To develop a quantitative based financial early-warning model to prevent financial crisis for British SMEs; 2) To seek the break-even point of SMEs financial crisis and evaluate the effectiveness of it; 3) To assess the accuracy of long-range warning to assist managerial decision-making.
H. Wang, Y. Zhao, B. Dang, P. Han, X. Shi (2019). Network centrality and innovation performance: the role of formal and informal institutions in emerging economies. Journal of Business & Industrial Marketing.
X. Zhao (2018). Multi-Criteria Decision Model for Imperfect Maintenance using Multi-Attribute Utility Theory. International Journal of Performability Engineering. 14(12), pp.3014-3024.
A. Jaggi, F. Fatoye, X. Shi, I. Odeyemi (2017). DOES TREATMENT WITH PREGABALIN AND GABAPENTIN INCREASE THE RISK OF DEMENTIA, PNEUMONIA AND UNINTENTIONAL FALLS? A SYSTEMATIC LITERATURE REVIEW. Value in Health. 20(4),
L. Geng, Y. Liang, Z. Zhang, X. Shi (2016). Forecasting range volatility using support vector machines with improved PSO algorithms. Telkomnika (Telecommunication Computing Electronics and Control). 14(3A), pp.208-216.
R. Ramsden, S. Freeman, S. Lloyd, A. King, X. Shi, et al.C. Ward, S. Huson, D. Mawman, M. O'Driscoll, D. Evans, S. Rutherford. (2016). Auditory Brainstem Implantation in Neurofibromatosis Type 2: Experience From Manchester Programme. Otology and Neurotology.
L. Zhen, H. Hao, X. Shi, L. Huang, Y. Hu Task assignment and sequencing decision model under uncertain available time of service providers. Journal of the Operational Research Society.
B. Fu, W. Wang, X. Shi (2015). Impact of delayed diagnosis time in estimating progression rates to hepatitis C virus-related cirrhosis and death. Stat Methods Med Res. 24(6), pp.693-710.
S. Shen, H. Wang, X. Shi (2013). An Empirical Analysis of Interrelationship Between Income, Health and Entrepreneurship. Technology and Investment. 4(1B), pp.18-23.
B. Fu, W. Wang, X. Shi (2012). A risk analysis based on a two-stage delayed diagnosis regression model with application to chronic disease progression. European Journal of Operational Research. 218, pp.847-855.
RL. Smith, X. Shi, EJ. Estlin (2012). Chemotherapy Dose-Intensity and Survival for Childhood Medulloblastoma. Anticancer Research. 32(9), pp.3885-3892.
V. Farnsworth, P. Davis, A. Kalambouka, S. Ralph, X. Shi, et al.P. Farrell. (2011). Students' production of curricular knowledge: Perspectives on empowerment in financial capability education. Education, Citizenship and Social Justice. 6(2), pp.153-167.
P. Scarf, X. Shi, S. Akhtar (2011). On the distribution of runs scored and batting strategy in test cricket. Journal of the Royal Statistical Society. Series A: Statistics in Society. 174(2), pp.471-497.
RL. Bromley, G. Mawer, J. Love, J. Kelly, L. Purdy, et al.L. McEwan, M. Briggs, J. Clayton-Smith, X. Shi, GA. Baker, . Liverpool and Manchester Neurodevelopment Group [LMNDG]. (2010). Early cognitive development in children born to women with epilepsy: a prospective report. Epilepsia. 51(10), pp.2058-2065.
T. Walsh, HV. Worthington, AM. Glenny, P. Appelbe, VCC. Marinho, et al.X. Shi. (2010). Fluoride Toothpastes of Different Concentrations for Preventing Dental Caries in Children and Adolescents. Cochrane Database of Systematic Reviews. 1,
PA. Scarf, X. Shi (2008). The importance of a match in a tournament. Computers & OR. 35, pp.2406-2418.
P. Scarf, X. Shi (2005). Modelling match outcomes and decision support for setting a final innings target in test cricket. IMA Journal of Management Mathematics. 16(2), pp.161-178.
X. Shi, HX. Wang (1999). The Higher Education Mode in Semi-Finished Products Type, Which Match To The Development Tendency in 21st Century. Community Care Journal.
X. Shi, M. Zhang (1998). Theory of Share-Stock System. The University of Jilin Social Science Journal.
X. Shi (1998). Analysis of the Tendency of the Accountancy Report. Journal of Shenyang University.
Chapters in books
N. Moorhouse, T. Jung, X. Shi, F. Amin, J. Newsham, et al.S. McCall. (2019). Pulmonary Rehabilitation in Virtual Reality for COPD Patients. In: Augmented Reality and Virtual Reality: The Power of AR and VR for Business. Springer International Publishing,
PA. Scarf, X. Shi, S. Akhtar (2010). Modelling Batting Strategy in Test Cricket. A. Fitt, J. Norbury, H. Ockendon, E. Wilson. In: Progress in Industrial Mathematics at ECMI 2008. New York, USA: Springer, pp.481-489.
A. Jaggi, X. Shi, IO. Odeyemi, F. Fatoye (2017). Does the use of pregabalin and gabapentin increase the risk of dementia, pneumonia and unintentional falls? a systematic literature review. Noston, USA, 20/5/2017.
K. Gao, X. Shi, W. Wang, Q. Wei The Impact of Smoking on Human Beings Health in China. Singapore, 1/5/2014.
AL. Paucar-Caceres, X. Shi A Statistical Model to Estimate Business and Management Quality Research: Results of Research Assessment Exercise (2001 and 2008) in the UK. Edinburgh University, Edinburgh, UK, 4/9/2012.
X. Shi, H. Wang, S. Shen Statistical Modelling the Impacts of Health and Incomes on Self-Employment Using Correlated Longitudinal Data. Asia-Pacific Operational Research Societies, Xi'an, China, 1/1/2012.
X. Shi Applied Statistics for Social Science. Institute of Statistics and Management, Jinan University, Dalian, China, 24/7/2011.
X. Shi, PA. Scarf, B. Fu Latent Model for Batting Strategy in Test Cricket. The Institute of Mathematics and Its Applications, Manchester, UK, 22/6/2011.
PA. Scarf, X. Shi, S. Akhtar Modelling Batting Strategy in Test Cricket. ECMI, New York, USA, 1/1/2010.
X. Shi Establishing Batting Strategies Considering the Distribution of Runs Scored During Partnership in Test Cricket. The Institute of Mathematics and Its Applications, UK, 1/1/2007.
X. Shi, P. Davis, S. Ralph, L. Black, V. Farnsworth, et al.A. Kalambouka. Analysing the Changes in Repeated Measures Responses in Financial Literacy Education. American Statistical Association, Salt Lake City, USA, 1/1/2007.
X. Shi Modelling the Distribution of Runs Scored in Test Cricket. Operational Research Society, UK, 1/1/2006.