Dr Svetlana Tishkovskaya
Senior Lecturer in Health Statistics, Statistician at Lancashire Clinical Trials Unit
Dr Svetlana Tishkovskaya is a Senior Lecturer in Health Statistics and a Statistician at Lancashire Clinical Trials Unit. Her research interests are in the field of medical statistics, clinical trials methodology and Bayesian modelling driven by applications, mainly in medicine, health, clinical trials, and ecology. Svetlana is also interested in statistics education, innovations in teaching and learning statistics and promoting statistical literacy. She is a Fellow of the Higher Education Academy.
Svetlana is a Senior Lecturer in Health Statistics contributing to teaching and research of the Faculty and wider UCLan community. She is teaching statistics to diverse cohorts of students, including health professionals, postgraduate students and medical students. As a teacher, she is interested in teaching statistical innovation and enthusiastic about introducing modern technology into teaching and learning statistics. Svetlana is Module Leader for ‘Design and Interpretation of Clinical Trials’, part of the MSc in Clinical Research course at UCLan. She is a supervisor for postgraduate students in the Faculty.
As a statistician within Lancashire CTU, Svetlana works as a trial statistician on several research projects, providing statistical input, support and collaboration in all aspects of trial conduct. She is a co-applicant/statistical advisor on many bids and submissions from the Faculty.
Svetlana has joined the University of Central Lancashire in February 2012 as a lecturer in Health Statistics. Prior to moving to UCLan, she held Daphne Jackson Fellowship hosted by the University of Sheffield. During the fellowship she was responsible for developing the project in Bayesian modelling for movement ecology. She also worked on the research positions at the Postgraduate Statistics Centre and Centre for Excellence in Teaching and Learning in the Department of Mathematics and Statistics, Lancaster University.
Her ongoing research interests include clinical trials methodology, medical and health statistics. Svetlana has many years’ experience of working in the field of Bayesian statistics with practical applications in medical and health related studies, clinical trials, ecology. She has an extensive teaching experience and is interested in innovations in teaching and learning statistics, using online resources and Internet technologies for teaching statistics, and promoting statistical literacy.
- Ph.D. in Statistics, title “Bayesian Estimation of Distribution Parameters with Quantised Data and Optimal Quantisation”, 2000
- Degree of Engineer-Mathematician (Distinction)
- Statistical Modelling
- Bayesian Statistics with Practical Applications in Medical Research, Health Related Studies, Clinical Trials, Ecology
- Knowledge Elicitation for Bayesian Inference
- Innovation in Teaching and Learning Statistics
- Fellow of the Royal Statistical Society
- Fellow of the Higher Education Academy
- Member of RSS Lancashire and Cumbria local group
- Country Representative for the International Statistical Literacy Project
Svetlana has been involved in various research projects. Her ongoing research interests include:
- Bayesian modelling driven by applications in clinical trials, health-related and medical research, knowledge elicitation for Bayesian inference;
- Clinical trials methodology, information methods in statistics;
- Statistics pedagogy, innovation in teaching and learning statistics, statistical literacy.
Use the links below to view their profiles:
- View their unique and persistent identifier on the ORCiD registry
- Full list of publications and articles on CLoK
- Health Research Methodology Hub (HeRMI), Biostatistics
- Lancashire Clinical Trials Unit
- ICONS (Identifying Continence Options after Stroke)
- BiZiFED (Biofortification with Zinc and Iron for Eliminating Deficiency in Pakistan)
- ADOPTS (Accelerating Delivery of Psychological Therapies after Stroke)
- Development of a Study of Bayesian and Hierarchical Modelling of Familial Data on Childbirth and Labour (LIFE funded)
- A prospective study to assess maternal BMI, height, and maternal and paternal shoe size in primigravidas as predictors of length of labour and birth outcome (joint project with Israel)
- Development of a study of Bayesian and hierarchical modelling of familial data on childbirth and labour. Funded by LIFE. 2019 – 2020
- Academic sabbatical. Funded by Research Catalyst Scheme. 2019
- Daphne Jackson Fellowship. Funded by NERC, host organisation University of Sheffield. 2008 – 2010
- BAYES 2018: Bayesian Biostatistics Workshop, satellite of ISBA, 2018
- Royal Statistical Society Conference, 2016
- Third Clinical Trials Methodology Conference, 2015
- The International Conference on Teaching Statistics (ICOTS 9), 2014
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