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dc.contributor.authorChadwick, Fergus J
dc.contributor.authorHaydon, Daniel T
dc.contributor.authorHusmeier, Dirk
dc.contributor.authorOvaskainen, Otso
dc.contributor.authorMatthiopoulos, Jason
dc.date.accessioned2024-04-12T12:40:22Z
dc.date.available2024-04-12T12:40:22Z
dc.date.issued2024-04
dc.identifier297562368
dc.identifierf92bf32f-4693-4b98-9e0c-e8bbf5884cde
dc.identifier37949794
dc.identifier85176451080
dc.identifier.citationChadwick , F J , Haydon , D T , Husmeier , D , Ovaskainen , O & Matthiopoulos , J 2024 , ' LIES of omission : complex observation processes in ecology ' , Trends in Ecology and Evolution , vol. 39 , no. 4 , pp. 368-380 . https://doi.org/10.1016/j.tree.2023.10.009en
dc.identifier.issn0169-5347
dc.identifier.otherJisc: 1519267
dc.identifier.otherpii: S0169-5347(23)00276-8
dc.identifier.urihttps://hdl.handle.net/10023/29650
dc.descriptionFunding: This work was completed as part of F.J.C.’s PhD funded by the Engineering and Physical Sciences Research Council (EPSRC) (EP/R513222/1) and the support of his subsequent employer, Biomathematics and Statistics Scotland (BioSS).en
dc.description.abstractAdvances in statistics mean that it is now possible to tackle increasingly sophisticated observation processes. The intricacies and ambitious scale of modern data collection techniques mean that this is now essential. Methodological research to make inference about the biological process while accounting for the observation process has expanded dramatically, but solutions are often presented in field-specific terms, limiting our ability to identify commonalities between methods. We suggest a typology of observation processes that could improve translation between fields and aid methodological synthesis. We propose the LIES framework (defining observation processes in terms of issues of Latency, Identifiability, Effort and Scale) and illustrate its use with both simple examples and more complex case studies.
dc.format.extent13
dc.format.extent1189273
dc.language.isoeng
dc.relation.ispartofTrends in Ecology and Evolutionen
dc.subjectNon-transferabilityen
dc.subjectLatencyen
dc.subjectEfforten
dc.subjectScaleen
dc.subjectIdentifiabilityen
dc.subjectQ Scienceen
dc.subject.lccQen
dc.titleLIES of omission : complex observation processes in ecologyen
dc.typeJournal itemen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.identifier.doi10.1016/j.tree.2023.10.009
dc.description.statusPeer revieweden


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