Mannan, H., Ahmed, R., Sanagou, M., Ivori, S., and Wolfe, R. (2013) The methodology of human diseases risk prediction tools. International Journal of Statistics in Medical Research, 2 (3). A9. pp. 239-248.

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Abstract

Disease risk prediction tools are used for population screening and to guide clinical care. They identify which individuals have particularly elevated risk of disease. The development of a new risk prediction tool involves several methodological components including: selection of a general modelling framework and specific functional form for the new tool, making decisions about the inclusion of risk factors, dealing with missing data in those risk factors, and performing validation checks of a new tool's performance. There have been many methodological developments of relevance to these issues in recent years. Developments of importance for disease detection in humans were reviewed and their uptake in risk prediction tool development illustrated. This review leads to guidance on appropriate methodology for future risk prediction development activities.

Item ID:	35550
Item Type:	Article (Research - C1)
ISSN:	1929-6029
Keywords:	disease risk prediction, missing data, model validation, model updating, model utility
Date Deposited:	16 Oct 2014 23:22
FoR Codes:	01 MATHEMATICAL SCIENCES > 0104 Statistics > 010406 Stochastic Analysis and Modelling @ 50% 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010402 Biostatistics @ 50%
SEO Codes:	92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920499 Public Health (excl. Specific Population Health) not elsewhere classified @ 100%
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