Functional data modelling approach for analysing and predicting trends in incidence rates-an application to falls injury
S Ullah, CF Finch
Osteoporosis International | SPRINGER LONDON LTD | Published : 2010
SUMMARY: Policy decisions about the allocation of current and future resources should be based on the most accurate predictions possible. A functional data analysis (FDA) approach improves the understanding of current trends and future incidence of injuries. FDA provides more valid and reliable long-term predictions than commonly used methods. INTRODUCTION: Accurate information about predicted future injury rates is needed to inform public health investment decisions. It is critical that such predictions derived from the best available statistical models to minimise possible error in future injury incidence rates. METHODS: FDA approach was developed to improve long-term predictions but is ye..View full abstract
Dr Shahid Ullah was supported by an Injury Trauma and Rehabilitation (ITR) Research Fellowship funded through a National Health and Medical Research Council (NHMRC) Capacity Building Grant in Population Health. Professor Caroline Finch was supported by an NHMRC Principal Research Fellowship.