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Clinical Spine Surgery: A Spine Publication, 2020
Propensity score matching (PSM) is a commonly used statistical method in orthopedic surgery research that accomplishes the removal of confounding bias from observational cohorts where the benefit of randomization is not possible. An alternative to multiple regression analysis, PSM attempts to reduce the effects of confounders by matching already ...
Liam T, Kane +7 more
openaire +3 more sources
Propensity score matching (PSM) is a commonly used statistical method in orthopedic surgery research that accomplishes the removal of confounding bias from observational cohorts where the benefit of randomization is not possible. An alternative to multiple regression analysis, PSM attempts to reduce the effects of confounders by matching already ...
Liam T, Kane +7 more
openaire +3 more sources
The Lancet Oncology, 2023
BACKGROUND Previous randomised controlled trials comparing bladder preservation with radical cystectomy for muscle-invasive bladder cancer closed due to insufficient accrual. Given that no further trials are foreseen, we aimed to use propensity scores to
A. Zlotta +28 more
semanticscholar +1 more source
BACKGROUND Previous randomised controlled trials comparing bladder preservation with radical cystectomy for muscle-invasive bladder cancer closed due to insufficient accrual. Given that no further trials are foreseen, we aimed to use propensity scores to
A. Zlotta +28 more
semanticscholar +1 more source
Arthroscopy: The Journal of Arthroscopy And Related, 2021
Rigorous and reproducible methodology of controlling for bias is essential for high-quality, evidence-based studies. Propensity score matching (PSM) is a valuable way to control for bias and achieve pseudo-randomization in retrospective observation ...
Jeffrey W Chen +6 more
semanticscholar +1 more source
Rigorous and reproducible methodology of controlling for bias is essential for high-quality, evidence-based studies. Propensity score matching (PSM) is a valuable way to control for bias and achieve pseudo-randomization in retrospective observation ...
Jeffrey W Chen +6 more
semanticscholar +1 more source
Statistics in Medicine, 2021
As the availability of real‐world data sources (eg, EHRs, claims data, registries) and historical data has rapidly surged in recent years, there is an increasing interest and need from investigators and health authorities to leverage all available ...
Meizi Liu +4 more
semanticscholar +1 more source
As the availability of real‐world data sources (eg, EHRs, claims data, registries) and historical data has rapidly surged in recent years, there is an increasing interest and need from investigators and health authorities to leverage all available ...
Meizi Liu +4 more
semanticscholar +1 more source
Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical Trial.
Journal of the American Medical Association (JAMA), 2020treatment and associated with testing positive COVID-19. adjusted comparisons estimated narrow CIs,
L. Thomas, Fan Li, M. Pencina
semanticscholar +1 more source