Transparent reporting items for simulation studies evaluating statistical methods: Foundations for reproducibility and reliability DOI Creative Commons
Coralie Williams, Yefeng Yang, Malgorzata Lagisz

et al.

Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Abstract Simulation studies are essential tools to assess statistical methods. Functioning as controlled experiments, simulations generate data from known underlying processes. However, unclear or incomplete reporting of simulation can impact their interpretability and reproducibility, potentially leading the misuse While Morris et al. (2019, Stat Med, 38, p. 2074) recently provided guidance on planning conduct for method evaluation, there is currently no comprehensive set guidelines in ecology evolutionary biology. Here, we propose 11 items extending colleagues' guidance. These span across three stages: planning, coding analysis. We also clarify terminology related components broad purposes studies. To highlight our proposed with current practices, surveyed 100 articles evolution journals that included a study evaluating method. Our survey found room improvement more transparent ensure clear evaluation Most notably, only small proportion reported Monte Carlo uncertainty (17%; 17 out 98), 32% (32 100) did not provide code. Beyond items, discuss benefits open science enhance reproducibility Specifically, registration collaboration. aim instigate discussions improve research. The propose, along tools, serve template developing standards will help indirectly encourage consideration design these

Language: Английский

From formulae, via models to theories: Dynamic Energy Budget theory illustrates requirements DOI Creative Commons
S.A.L.M. Kooijman, Michael Kearney, Nina Marn

et al.

Ecological Modelling, Journal Year: 2024, Volume and Issue: 497, P. 110869 - 110869

Published: Sept. 9, 2024

Language: Английский

Citations

3

Evidence to practice – lessons learnt in developing an implementation strategy for an online digital health intervention (Eczema Care Online) DOI Creative Commons
Laura Howells, Kim S Thomas, Miriam Santer

et al.

BMC Health Services Research, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 31, 2025

Eczema Care Online ( www.EczemaCareOnline.org.uk/ ) is an online self-management toolkit which includes tailored content for young people (13-25 years) and parents of children that have eczema (0-12 years). Testing in two randomised controlled trials has shown it easy to use, cost effective offers a sustained improvement symptoms. Implementing outside funded research study ensuring reaches those will most benefit from now key challenge. This paper describes the lessons learnt developing delivering implementation strategy. Data systematic reviews, stakeholder consultation meetings, interviews with trial participants, intervention usage data during trial, existing information websites informed our plan. Using Normalisation Process Theory, plan combined these findings practical, context-specific actions encourage wider adoption intervention. was successfully mapped four constructs factors processes identified. These include: promoting how different other sources information; aligning embedding resources (from charities healthcare providers); simplifying aspects aid ease use; and, highlighting evidence shows works. Key strategy include 1) start work early 2) maintain flexibility explore multiple routes 3) use secondary 4) balance theory practicalities 5) consider longer-term maintenance beyond life project. Implementation planning stage process often not adequately resourced. ensures interventions developed evaluated studies are utilised everyday practice.

Language: Английский

Citations

0

Code-sharing policies are associated with increased reproducibility potential of ecological findings DOI Creative Commons
Alfredo Sánchez‐Tójar,

Aya Bezine,

Marija Purgar

et al.

Peer Community Journal, Journal Year: 2025, Volume and Issue: 5

Published: April 2, 2025

Language: Английский

Citations

0

Transparent reporting items for simulation studies evaluating statistical methods: Foundations for reproducibility and reliability DOI Creative Commons
Coralie Williams, Yefeng Yang, Malgorzata Lagisz

et al.

Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Abstract Simulation studies are essential tools to assess statistical methods. Functioning as controlled experiments, simulations generate data from known underlying processes. However, unclear or incomplete reporting of simulation can impact their interpretability and reproducibility, potentially leading the misuse While Morris et al. (2019, Stat Med, 38, p. 2074) recently provided guidance on planning conduct for method evaluation, there is currently no comprehensive set guidelines in ecology evolutionary biology. Here, we propose 11 items extending colleagues' guidance. These span across three stages: planning, coding analysis. We also clarify terminology related components broad purposes studies. To highlight our proposed with current practices, surveyed 100 articles evolution journals that included a study evaluating method. Our survey found room improvement more transparent ensure clear evaluation Most notably, only small proportion reported Monte Carlo uncertainty (17%; 17 out 98), 32% (32 100) did not provide code. Beyond items, discuss benefits open science enhance reproducibility Specifically, registration collaboration. aim instigate discussions improve research. The propose, along tools, serve template developing standards will help indirectly encourage consideration design these

Language: Английский

Citations

0