Designing follow-up intervals

Simple item page
dc.contributor.authorRaab, G.
dc.contributor.authorDavies, J.
dc.contributor.authorSalter, A.
dc.date.issued2004
dc.description.abstractWhen an examination is needed to determine if an event has occurred there will be a loss of efficiency in using the resulting interval-censored data instead of the exact event times. In designing follow-up intervals this loss for longer intervals needs to be weighed against extra visits required by shorter intervals. We obtain results to quantify this for the estimation of the median and mean survival and for covariates in parametric regression models with equally spaced examination times. Asymptotic information loss for the log-normal and Weibull distributions are similar when comparisons are made between corresponding members of the two families. For distributions with coefficients of variation of 50 per cent or more, a choice of interval from 0.25 to 0.7 times the median is recommended.
dc.identifier.citationStatistics in Medicine, 2004; 23(20):3125-3137
dc.identifier.doi10.1002/sim.1882
dc.identifier.issn0277-6715
dc.identifier.issn1097-0258
dc.identifier.orcidSalter, A. [0000-0002-2881-0684]
dc.identifier.urihttp://hdl.handle.net/2440/645
dc.language.isoen
dc.publisherJohn Wiley & Sons Ltd
dc.source.urihttps://doi.org/10.1002/sim.1882
dc.subjectHumans
dc.subjectErythema
dc.subjectAdministration, Topical
dc.subjectData Interpretation, Statistical
dc.subjectModels, Statistical
dc.subjectLongitudinal Studies
dc.subjectFollow-Up Studies
dc.subjectWound Healing
dc.subjectComputer Simulation
dc.subjectRandomized Controlled Trials as Topic
dc.titleDesigning follow-up intervals
dc.typeJournal article
pubs.publication-statusPublished

Files

Collections

Applied Mathematics publications