A comparative study of methods for dynamic survival analysis

Our findings underscore the importance of aligning model selection and training strategies with the specific characteristics of the data and the target application, providing valuable insights that can inform future developments in dynamic survival analysis.

Authors

Institutions

Publication Details

Journal
Frontiers in Neurology
Published
2025-02-18
DOI
https://doi.org/10.3389/fneur.2025.1504535
Citations
1
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
2.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comparative study of methods for dynamic survival analysis

Jesse H. Krijthe, Marco Loog, Wieske K. de Swart
1 citations
Frontiers in Neurology
Statistical Methods and Inference
2.63
article

A comparative study of methods for dynamic survival analysis

Jesse H. Krijthe, Marco Loog, Wieske K. de Swart
article en
1 citations

Abstract

Our findings underscore the importance of aligning model selection and training strategies with the specific characteristics of the data and the target application, providing valuable insights that can inform future developments in dynamic survival analysis.

Frontiers in NeurologyVol. 16
Radboud University Nijmegen (NL), Delft University of Technology (NL)
Alzheimer's Disease Neuroimaging Initiative, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Institutes of Health
Openalex Percentile: Top 14%
Statistical Methods and Inference
2.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.