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 …
A note on good practice of objective propensity score design for premarket nonrandomized medical device studies with an example
H Li, V Mukhi, N Lu, YL Xu, LQ Yue - Statistics in …, 2016 - Taylor & Francis
In this short note, we highlight some key elements of the process of submitting an
investigational device exemption of a nonrandomized clinical study that involves the use of …
investigational device exemption of a nonrandomized clinical study that involves the use of …
Regulatory considerations in the design of comparative observational studies using propensity scores
LQ Yue - Journal of biopharmaceutical statistics, 2012 - Taylor & Francis
In the evaluation of medical products, including drugs, biological products, and medical
devices, comparative observational studies could play an important role when properly …
devices, comparative observational studies could play an important role when properly …
[HTML][HTML] Propensity score methods in health technology assessment: principles, extended applications, and recent advances
MS Ali, D Prieto-Alhambra, LC Lopes… - Frontiers in …, 2019 - frontiersin.org
Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure
effects of intervention or treatment on outcomes. They are also the designs of choice for …
effects of intervention or treatment on outcomes. They are also the designs of choice for …
Use of propensity scoring and its application to real‐world data: advantages, disadvantages, and methodological objectives explained to researchers without using …
Y Franchetti - The Journal of Clinical Pharmacology, 2022 - Wiley Online Library
Real‐time data collection of patient health status and medications is sped up with modern
electronic devices and technologies. As real‐world data provide enormous research …
electronic devices and technologies. As real‐world data provide enormous research …
Some considerations on design and analysis plan on a nonrandomized comparative study using propensity score methodology for medical device premarket …
N Lu, Y Xu, LQ Yue - Statistics in Biopharmaceutical Research, 2020 - Taylor & Francis
Nonrandomized comparative studies have been widely proposed and conducted in the
premarket safety and effectiveness evaluation of medical devices. A typical case is to …
premarket safety and effectiveness evaluation of medical devices. A typical case is to …
Propensity score‐based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
H Li, LQ Yue - Pharmaceutical Statistics, 2023 - Wiley Online Library
The breakthrough propensity score methodology was formulated by Rosenbaum and Rubin
in the 1980s for the mitigation of confounding bias in non‐randomized comparative studies …
in the 1980s for the mitigation of confounding bias in non‐randomized comparative studies …
Practical considerations of utilizing propensity score methods in clinical development using real-world and historical data
In recent years, with the rapid increase in the volume and accessibility of Real-World-Data
(RWD) and Real-World-Evidence (RWE), we have seen the unprecedented opportunities for …
(RWD) and Real-World-Evidence (RWE), we have seen the unprecedented opportunities for …
Principles for modeling propensity scores in medical research: a systematic literature review
Purpose To document which established criteria for logistic regression modeling
researchers consider when using propensity scores in observational studies. Methods We …
researchers consider when using propensity scores in observational studies. Methods We …
Goodness‐of‐fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score
PC Austin - Pharmacoepidemiology and drug safety, 2008 - Wiley Online Library
The propensity score is defined to be a subject's probability of treatment selection,
conditional on observed baseline covariates. Conditional on the propensity score, treated …
conditional on observed baseline covariates. Conditional on the propensity score, treated …