Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 17, 2024Open Access

Investigating variable selection techniques under missing data: A simulation study

View Full Paper
Ask AI
Bookmark
Share

Authors

CBCatherine BainDSDingjing Shi

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Bain et al. (2024) studied this question.

synapsesocial.com/papers/68e6ebeab6db643587667409https://doi.org/10.31234/osf.io/d4c2k
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Flexible variable selection in the presence of missing data2024 · 1 citations
  2. 2How to apply Bayesian stochastic search variable selection with multiply imputed data.2026
  3. 3Evaluating variable selection methods for multivariable regression models: A simulation study protocol2024 · 44 citations
  4. 4Constructing a binary prediction model with incomplete data: Variable selection to balance fairness and precision.2025
  5. 5Comparison of variable selection procedures and investigation of the role of shrinkage in linear regression-protocol of a simulation study in low-dimensional data2022 · 18 citations