Transparent reporting items for simulation studies evaluating statistical methods: Foundations for reproducibility and reliability
Simulation studies are essential tools to assess statistical methods. Functioning as
controlled experiments, simulations generate data from known underlying processes …
controlled experiments, simulations generate data from known underlying processes …
Building a continuous benchmarking ecosystem in bioinformatics
Benchmarking, which involves collecting reference datasets and demonstrating method
performances, is a requirement for the development of new computational tools, but also …
performances, is a requirement for the development of new computational tools, but also …
Multilevel Metamodels: A Novel Approach to Enhance Efficiency and Generalizability in Monte Carlo Simulation Studies
J Gilbert, L Miratrix - arXiv preprint arXiv:2401.07294, 2024 - arxiv.org
Metamodels, or the regression analysis of Monte Carlo simulation results, provide a
powerful tool to summarize simulation findings. However, an underutilized approach is the …
powerful tool to summarize simulation findings. However, an underutilized approach is the …
[PDF][PDF] Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-parametric Approaches and Their Applicability to Intensive Longitudinal Data
JI Failenschmid, LVDE Vogelsmeier, J Mulder… - 2024 - osf.io
Psychological concepts are increasingly understood as complex dynamic systems that
change over time. To study these complex systems, researchers are increasingly gathering …
change over time. To study these complex systems, researchers are increasingly gathering …
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
In multi-state models based on high-dimensional data, effective modeling strategies are
required to determine an optimal, ideally parsimonious model. In particular, linking covariate …
required to determine an optimal, ideally parsimonious model. In particular, linking covariate …
Bayesian estimation and comparison of idiographic network models.
Idiographic network models are estimated on time series data of a single individual and
allow researchers to investigate person-specific associations between multiple variables …
allow researchers to investigate person-specific associations between multiple variables …
On the handling of method failure in comparison studies
M Wünsch, M Herrmann, E Noltenius, M Mohr… - arXiv preprint arXiv …, 2024 - arxiv.org
Comparison studies in methodological research are intended to compare methods in an
evidence-based manner, offering guidance to data analysts to select a suitable method for …
evidence-based manner, offering guidance to data analysts to select a suitable method for …
Omnibenchmark (alpha) for continuous and open benchmarking in bioinformatics
I Mallona, A Luetge, B Carrillo, D Incicau… - arXiv preprint arXiv …, 2024 - arxiv.org
Benchmarking in bioinformatics is a process of designing, running and disseminating
rigorous performance evaluations of methods (software). Benchmarking systems facilitate …
rigorous performance evaluations of methods (software). Benchmarking systems facilitate …
[PDF][PDF] Multiverse analysis for dynamic network models: Investigating the influence of plausible alternative modeling choices
The analysis of time series data has become very popular in psychology. Specifying
complex time series models involves many researchers' degrees of freedom, meaning that a …
complex time series models involves many researchers' degrees of freedom, meaning that a …
Combined p-value functions for meta-analysis
P-value functions are modern statistical tools that unify effect estimation and hypothesis
testing and can provide alternative point and interval estimates compared to standard meta …
testing and can provide alternative point and interval estimates compared to standard meta …