Node-splitting results for subgroup analysis of all-cause mortality in hypertensive patients.

Publication Details

Journal
Figshare
Published
2025-02-21
DOI
https://doi.org/10.1371/journal.pone.0313309.s011
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Node-splitting results for subgroup analysis of all-cause mortality in hypertensive patients.

Figshare
Statistical Methods and Bayesian Inference
article

Node-splitting results for subgroup analysis of all-cause mortality in hypertensive patients.

article en

Abstract

No abstract available for this paper.
Figshare
Good health and well-being
Openalex Percentile: Top 57%
Statistical Methods and Bayesian Inference
DOISourceOpenAlex
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.

Node-splitting results for subgroup analysis of all-cause mortality in hypertensive patients. · Figshare (2025) | TGRS Research Map | TGRS