Europe PMC
open access
Interpreting higher-order dependence in multimorbidity using cohort data: A partial information decomposition approach
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Joint modeling of high-dimensional longitudinal data and survival using supervised low-rank tensor decomposition.#255202
- Multiple Linear Regression Based LOS Analysis in the General Medicine Department#185507
- Latent TGF-β-binding Proteins Affect the Fibrotic Process in Renal Impairment and Cardiac Dysfunction#845854
- Extended Joint Models for Longitudinal and Time-to-Event Data: A Tutorial#1109675
- Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data.#388807
Record · ID 311562
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive