Identifying Key Predictors of Stroke Recurrence and Survival using a Propensity Score Matched Analysis (P4-14.011)

This study uses propensity score matching (PSM) to reduce selection and confounding bias and aims to accurately identify predictors of stroke recurrence and 1-year survival.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000211746
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying Key Predictors of Stroke Recurrence and Survival using a Propensity Score Matched Analysis (P4-14.011)

Jung Keun Hyun, Yuna Kim
Neurology
Stroke Rehabilitation and Recovery
article

Identifying Key Predictors of Stroke Recurrence and Survival using a Propensity Score Matched Analysis (P4-14.011)

Jung Keun Hyun, Yuna Kim
article en

Abstract

This study uses propensity score matching (PSM) to reduce selection and confounding bias and aims to accurately identify predictors of stroke recurrence and 1-year survival.

NeurologyVol. 104(7_Supplement_1)
Dankook University (KR)
Openalex Percentile: Top 91%
Stroke Rehabilitation and Recovery
DOISourceOpenAlex
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Identifying Key Predictors of Stroke Recurrence and Survival using a Propensity Score Matched Analysis (P4-14.011) — Jung Keun Hyun, Yuna Kim · Neurology (2025) | TGRS Research Map | TGRS