6533b7d3fe1ef96bd1260aec
RESEARCH PRODUCT
Optimal selection of individuals for repeated covariate measurements in follow-up studies
Hanna TolonenJuha KarvanenJaakko Reinikainensubject
AdultStatistics and ProbabilityTime Factorsdata collectionEpidemiologyComputer sciencemissing covariate data01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineHealth Information ManagementRisk FactorsStatisticsCovariateEconometricsHumans030212 general & internal medicineoptimal design0101 mathematicsrepeated measurementsFinlandSelection (genetic algorithm)Event (probability theory)ta112Data collectionPatient SelectionFollow up studiesta3142follow-up studyMiddle AgedSimple random sampleCardiovascular DiseasesResearch DesignCohortseurantatutkimusSelection methodFollow-Up Studiesdescription
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 measurements only for a subset of the cohort. We study cost-efficient alternatives for the simple random sampling in the selection of the individuals to be remeasured. The proposed selection criteria are based on forms of the D-optimality. The selection methods are compared with the simulation studies and illustrated with the data from the East–West study carried out in Finland from 1959 to 1999. The results indicate that cost savings can be achieved if the selection is focused on the individuals with high expected risk of the event and, on the other hand, on those with extreme covariate values in the previous measurements.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-01 | Statistical Methods in Medical Research |