Dr Kay Penny
Lecturer in Statistics
School of Management
Contact details
Room: 02/61, Craiglockhart Campus
Tel: +44 (0) 131 455 4362
Email: k.penny@napier.ac.uk
Qualifications
PhD, University of Aberdeen, 1995.
BSc (Hons) Statistics, University of Aberdeen, 1992.
Areas of Expertise
Applied statistics, survey methods, data mining, and methods for dealing with missing data.
Brief Biography
Dr Kay Penny studied at the University of Aberdeen at both undergraduate and postgraduate level, and was awarded a PhD in 1995. Kay previously held posts at both the University of Aberdeen (1995 – 1997) and Edinburgh University (1997 – 1999) before joining Edinburgh Napier University as a Lecturer in Statistics in 1999. Since 2011, Kay also holds the post of Programme Manager in the Edinburgh Institute within Edinburgh Napier University Business School.
Kay is currently the Statistical Editor for the Journal of Clinical Nursing.
Key Research Publications (since 2006)
Penny K.I. “Factors which influence student e-learning participation in a UK higher education institution”, accepted for publication in Interdisciplinary Journal of E-learning and Learning Objects, 2011.
Penny, K.I, Fleming, M., Kazmierczak, D.F., Thomas, A. “An epidemiological study of Henoch-Schonlein purpura”, Paediatric Nursing, 2010, 22(10), 30-35.
Smith, G.D., Steinke, D.T., Penny, K.I., Kinnear, M., Penman, I.D. “Health-related quality of life and symptom classification in patients with irritable bowel syndrome”, Journal of Nursing and Healthcare of Chronic Illness, 2010, 2(1), 4-12.
Chesney, T, Penny, KI, Chesney, D, Oakley, P, Viglas, S, Templeton, J, Maffulli, N. “Data mining Trauma Injury Data using C5.0 and Logistic Regression to Determine Factors Associated with Death”, International Journal of Healthcare Technology and Management, 2009, 10, 16-26.
Penny, K.I. and Chesney, T. “Mining Trauma Injury Data with Imputed Values”, Statistical Analysis and Data Mining, 2009, 4(2), 246-254.
Penny, K.I. “Editorial: Statistical Guidelines for JCN”, Journal of Clinical Nursing, 2009, 18(11), 1521-1522.
Penny, K.I., Smith, G., Steinke D., Kinnear, M., Penman, I., Ramsay, D. “An examination of subgroup classification in irritable bowel syndrome patients over time: A prospective study”, International Journal of Nursing Studies, 2008, 45(12), 1715-1720.
Chesney, T., Penny, K.I., Oakley, P., Davies, S., Chesney, D., Maffulli, N., Templeton, J. “Data Mining Medical Information,” published in Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, ed. J. Wang, Information Science Reference, Hershey, New York, 2008.
Penny, K.I., Ashraf, M.Z. and Duffy, J.C. “The Use of Hot-deck Imputation to Compare Performance of Further Education Colleges”, Journal of Computing and Information Technology, 2007, 15(4), 313-318.
Chesney, T., Penny, K.I., Oakley, P., Davies, S., Chesney, D., Maffulli, N., Templeton, J. “Data Mining Medical Information: Should Artificial Neural Networks be used to Analyse Trauma Audit Data?”, Int. J. of Healthcare Information Systems and Informatics, 2006, 1(2), 51-64.
Penny, K.I. and Chesney, T. “A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury”, published in Data Analysis, Classification and the Forward Search: Proceedings of the meeting of CLADAG 2005, Springer-Verlag Heidelberg 2006, 417-423.