How many longitudinal covariate measurements are needed for risk prediction?
Reinikainen, J., Karvanen, J., & Tolonen, H. (2016). How many longitudinal covariate measurements are needed for risk prediction?. Journal of Clinical Epidemiology, 69, 114-124. doi:10.1016/j.jclinepi.2015.06.022
Published inJournal of Clinical Epidemiology
© 2016 Elsevier Inc. This is a preprint version of an article whose final and definitive form has been published by Elsevier.
Objective: In epidemiological follow-up studies, many key covariates, such as smoking, use of medication, blood pressure and cholesterol, are time-varying. Because of practical and financial limitations, time-varying covariates cannot be measured continuously, but only at certain prespecified time points. We study how the number of these longitudinal measurements can be chosen cost-efficiently by evaluating the usefulness of the measurements for risk prediction. Study Design and Setting: The usefulness is addressed by measuring the improvement in model discrimination between models using different amounts of longitudinal information. We use simulated follow-up data and the data from the Finnish East–West study, a follow-up study, with eight longitudinal covariate measurements carried out between 1959 and 1999. Results: In a simulation study, we show how the variability and the hazard ratio of a time-varying covariate are connected to the importance of re-measurements. In the East–West study, it is seen that for older people, the risk predictions obtained using only every other measurement are almost equivalent to the predictions obtained using all eight measurements. Conclusion: Decisions about the study design have significant effects on the costs. The cost-efficiency can be improved by applying the measures of model discrimination to data from previous studies and simulations. ...
MetadataShow full item record
Showing items with similar title or keywords.
Change detection to tone pairs during the first year of life : Predictive longitudinal relationships for EEG-based source and time-frequency measures Hämäläinen, Jarmo; Ortiz-Mantilla, Silvia; Benasich, April (Elsevier BV, 2019)Brain responses related to auditory processing show large changes throughout infancy and childhood with some evidence that the two hemispheres might mature at different rates. Differing rates of hemispheric maturation could ...
Reinikainen, Jaakko (University of Jyväskylä, 2015)Epidemiological studies can often be designed in several ways, some of which may be more optimal than others. Possible designs may diﬀer in the required resources or the ability to provide reliable answers to the questions ...
Reinikainen, Jaakko; Karvanen, Juha; Tolonen, Hanna (Sage Publications Ltd., 2016)Repeated covariate measurements bring important information on the time-varying risk factors in long epidemiological follow-up studies. However, due to budget limitations, it may be possible to carry out the repeated ...
Li, Xin (2019)The aim of this work is to test the detection performance of the PVT-based plastic scintillation detector system for detection of 𝛽 particles in future recoil-𝛽 tagging studies at JYFL. Characterization of the detector ...
Word and item features that affect measurement of vocabulary size in a multiple choice vocabulary task Törmäkangas, Timo (1999)