Prophylactic octreotide in pancreatoduodenectomy: response to Yang et al.

McMillan, Matthew T.; Vollmer, Charles M.

doi:10.1111/hpb.12381

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other parametric methods (e.g. Grabemann and Weisse, ) are based on a fixed percentile of data, with the range of percentiles varying between the 97.5th (McMillan, ) and the 99.7th (Arns et al, ). Pre‐defined thresholds can be considered as an initial procedure to make an a priori threshold choice when dealing with multiple datasets is time‐consuming.…”

Section: Methods: Threshold Selection Techniquesmentioning

confidence: 99%

Technical note: comparison of methods for threshold selection for extreme sea levels

Caballero-Megido

Hillier

Wyncoll

et al. 2017

J Flood Risk Management

View full text Add to dashboard Cite

Extreme value analysis is an important tool for studying coastal flood risk, but requires the estimation of a threshold to define an ‘extreme’, which is traditionally undertaken visually. Such subjective judgement is not accurately reproducible, so recently a number of quantitative approaches have been proposed. This paper therefore reviews existing methods, illustrated with coastal tide‐gauge data and the Generalized Pareto Distribution, and proposes a new automated method that mimics the enduringly popular visual inspection method. In total, five different types of statistical threshold selection and their variants are evaluated by comparison to manually derived thresholds, demonstrating that the new method is a useful, complementary tool.

show abstract

Section: Methods: Threshold Selection Techniquesmentioning

confidence: 99%