English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Capture-recapture methods for estimating the total size of elusivepopulations are widely-used, however, due to the choice of estimator impactingupon the results and conclusions made, the question of performance of eachestimator is raised. Motivated by an application of the estimators which allowcovariate information to meta-analytic data focused on the prevalence rate ofcompleted suicide after bariatric surgery, where studies with no completedsuicides did not occur, this paper explores the performance of the estimatorsthrough use of a simulation study. The simulation study addresses theperformance of the Horvitz-Thompson, generalised Chao and generalised Zeltermanestimators, in addition to performance of the analytical approach to variancecomputation. Given that the estimators vary in their dependence ondistributional assumptions, additional simulations are utilised to address thequestion of the impact outliers have on performance and inference.

Performance of capture-recapture population size estimators under covariate information