Propensity score methods for confounding control in nonexperimental research
Background Nonexperimental studies are increasingly used to investigate the safety and
effectiveness of medical products as they are used in routine care. One of the primary …
effectiveness of medical products as they are used in routine care. One of the primary …
Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs
Abstract Treatment effects, especially when comparing two or more therapeutic alternatives
as in comparative effectiveness research, are likely to be heterogeneous across age …
as in comparative effectiveness research, are likely to be heterogeneous across age …
A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with …
OBJECTIVE: Propensity score (PS) analyses attempt to control for confounding in
nonexperimental studies by adjusting for the likelihood that a given patient is exposed. Such …
nonexperimental studies by adjusting for the likelihood that a given patient is exposed. Such …
An overview of the objectives of and the approaches to propensity score analyses
The assessment of treatment effects from observational studies may be biased with patients
not randomly allocated to the experimental or control group. One way to overcome this …
not randomly allocated to the experimental or control group. One way to overcome this …
Core concepts in pharmacoepidemiology: confounding by indication and the role of active comparators
R Sendor, T Stürmer - Pharmacoepidemiology and drug safety, 2022 - Wiley Online Library
Confounding by indication poses a significant threat to the validity of nonexperimental
studies assessing effectiveness and safety of medical interventions. While no different from …
studies assessing effectiveness and safety of medical interventions. While no different from …
Propensity score methods for creating covariate balance in observational studies
Randomization of treatment assignment in experiments generates treatment groups with
approximately balanced baseline covariates. However, in observational studies, where …
approximately balanced baseline covariates. However, in observational studies, where …
Using internally developed risk models to assess heterogeneity in treatment effects in clinical trials
JF Burke, RA Hayward, JP Nelson… - … Quality and Outcomes, 2014 - Am Heart Assoc
Background—Recent proposals suggest that risk-stratified analyses of clinical trials be
routinely performed to better enable tailoring of treatment decisions to individuals. Trial data …
routinely performed to better enable tailoring of treatment decisions to individuals. Trial data …
Good research practices for comparative effectiveness research: approaches to mitigate bias and confounding in the design of nonrandomized studies of treatment …
E Cox, BC Martin, T Van Staa, E Garbe… - Value in …, 2009 - Wiley Online Library
Objectives: The goal of comparative effectiveness analysis is to examine the relationship
between two variables, treatment, or exposure and effectiveness or outcome. Unlike data …
between two variables, treatment, or exposure and effectiveness or outcome. Unlike data …
Adjusted analyses in studies addressing therapy and harm: users' guides to the medical literature
T Agoritsas, A Merglen, ND Shah, M O'Donnell… - Jama, 2017 - jamanetwork.com
Observational studies almost always have bias because prognostic factors are unequally
distributed between patients exposed or not exposed to an intervention. The standard …
distributed between patients exposed or not exposed to an intervention. The standard …
Statistical and regulatory issues with the application of propensity score analysis to nonrandomized medical device clinical studies
LQ Yue - Journal of Biopharmaceutical Statistics, 2007 - Taylor & Francis
Propensity score analysis is a versatile statistical method used mainly in observational
studies for improving treatment comparison by adjusting for up to a relatively large number …
studies for improving treatment comparison by adjusting for up to a relatively large number …