TY  - GEN
AB  - Causal inference methods play a vital role in health sciences research, requiring robust methodologies for treatment evaluation and clinical decision-making. Propensity Score Matching (PSM) and Structural Causal Models (SCMs) are key approaches, both grounded in the potential outcome framework but differing in their foundations — PSM follows Rubin's Causal Model, while SCMs follows the Structural Theory of Causation. Despite their shared objectives, these methods diverge significantly in methodologies and interpretations. We systematically study the methods with a specific clinical application.
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AU  - Khellah, Layaal
AU  - Naved, Mobasshir A.
AU  - Adib, Riddhiman
AU  - Patidar, Kavish
AU  - Adibuzzaman, Mohammad
DA  - 2024
DO  - 10.6083/bpxhc43627
DO  - doi
ID  - 43627
KW  - Propensity Score
KW  - Causality
KW  - Acute Kidney Injury
KW  - propensity score matching
KW  - structural causal modeling
KW  - structural theory of causation
L1  - https://digitalcollections.ohsu.edu/record/43627/files/ResearchWeek.2024.Khellah.Layaal.pdf
L2  - https://digitalcollections.ohsu.edu/record/43627/files/ResearchWeek.2024.Khellah.Layaal.pdf
L4  - https://digitalcollections.ohsu.edu/record/43627/files/ResearchWeek.2024.Khellah.Layaal.pdf
LA  - eng
LK  - https://digitalcollections.ohsu.edu/record/43627/files/ResearchWeek.2024.Khellah.Layaal.pdf
N2  - Causal inference methods play a vital role in health sciences research, requiring robust methodologies for treatment evaluation and clinical decision-making. Propensity Score Matching (PSM) and Structural Causal Models (SCMs) are key approaches, both grounded in the potential outcome framework but differing in their foundations — PSM follows Rubin's Causal Model, while SCMs follows the Structural Theory of Causation. Despite their shared objectives, these methods diverge significantly in methodologies and interpretations. We systematically study the methods with a specific clinical application.
PB  - Oregon Health and Science University
PY  - 2024
T1  - A systematic comparison of propensity score matching and structural causal models for clinical applications
TI  - A systematic comparison of propensity score matching and structural causal models for clinical applications
UR  - https://digitalcollections.ohsu.edu/record/43627/files/ResearchWeek.2024.Khellah.Layaal.pdf
Y1  - 2024
ER  -