Picture of small jelly fish in ocean

Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2024 | 2021 | 2019
Number of items: 3.


Csoban, Tunde and Kavanagh, Kimberley and Murray, Paul and Robertson, Chris and Barry, Sarah J.E. and Ukah, U Vivian and Payne, Beth A. and Nicolaides, Kypros H. and Syngelaki, Argyro and Ionescu, Olivia and Akolekar, Ranjit and Hutcheon, Jennifer A. and Magee, Laura A. and von Dadelszen, Peter (2024) Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model) : a modelling study. The Lancet Digital Health, 6 (4). E238-E250. ISSN 2589-7500


Simpson, Colin R and Robertson, Chris and Vasileiou, Eleftheria and Moore, Emily and McCowan, Colin and Agrawal, Utkarsh and Stagg, Helen R and Docherty, Annemarie and Mulholland, Rachel and Murray, Josephine L K and Ritchie, Lewis D and McMenamin, Jim and Sheikh, Aziz (2021) Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform : a statistical modelling study. The Lancet Digital Health, 3 (8). e517-e525. ISSN 2589-7500


Henderson, Marion and Donnachie, Craig (2019) Improving eHealth intervention development and quality of evaluations. The Lancet Digital Health, 1 (5). E194-E195.

This list was generated on Sat Jul 13 15:41:37 2024 BST.