Comparison of propensity score methods and covariate adjustment: evaluation in 4 cardiovascular studies
MC Elze, J Gregson, U Baber, E Williamson… - Journal of the American …, 2017 - jacc.org
Propensity scores (PS) are an increasingly popular method to adjust for confounding in
observational studies. Propensity score methods have theoretical advantages over …
observational studies. Propensity score methods have theoretical advantages over …
Synthetic and external controls in clinical trials–a primer for researchers
There has been a rapid expansion in the use of non-randomized evidence in the regulatory
approval of treatments globally. An emerging set of methodologies have been utilized to …
approval of treatments globally. An emerging set of methodologies have been utilized to …
Addressing challenges with real-world synthetic control arms to demonstrate the comparative effectiveness of Pralsetinib in non-small cell lung cancer
As advanced non-small cell lung cancer (aNSCLC) is being increasingly divided into rare
oncogene-driven subsets, conducting randomised trials becomes challenging. Using real …
oncogene-driven subsets, conducting randomised trials becomes challenging. Using real …
[图书][B] Applied logistic regression
A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …
other applications This thoroughly expanded Third Edition provides an easily accessible …
Safety and effectiveness of oral rivaroxaban versus standard anticoagulation for the treatment of symptomatic deep-vein thrombosis (XALIA): an international …
Background The efficacy and safety of the anticoagulant rivaroxaban for the treatment and
secondary prevention of deep-vein thrombosis and pulmonary embolism has been shown in …
secondary prevention of deep-vein thrombosis and pulmonary embolism has been shown in …
A comparison of different methods to handle missing data in the context of propensity score analysis
J Choi, OM Dekkers, S le Cessie - European journal of epidemiology, 2019 - Springer
Propensity score analysis is a popular method to control for confounding in observational
studies. A challenge in propensity methods is missing values in confounders. Several …
studies. A challenge in propensity methods is missing values in confounders. Several …
Confounding in observational studies based on large health care databases: problems and potential solutions–a primer for the clinician
M Nørgaard, V Ehrenstein… - Clinical …, 2017 - Taylor & Francis
Population-based health care databases are a valuable tool for observational studies as
they reflect daily medical practice for large and representative populations. A constant …
they reflect daily medical practice for large and representative populations. A constant …
A comparison of two methods of estimating propensity scores after multiple imputation
In many observational studies, analysts estimate treatment effects using propensity scores,
eg by matching or sub-classifying on the scores. When some values of the covariates are …
eg by matching or sub-classifying on the scores. When some values of the covariates are …
Making inferences on treatment effects from real world data: propensity scores, confounding by indication, and other perils for the unwary in observational research
Making inferences on treatment effects from real world data: propensity scores, confounding
by indication, and other perils for Page 1 Making inferences on treatment effects from real …
by indication, and other perils for Page 1 Making inferences on treatment effects from real …
Gender gap in deep brain stimulation for Parkinson's disease
ST Jost, L Strobel, A Rizos, PA Loehrer… - npj Parkinson's …, 2022 - nature.com
Previous studies have shown less access to deep brain stimulation (DBS) for Parkinson's
disease (PD) in women compared to men raising concerns about a potential gender gap …
disease (PD) in women compared to men raising concerns about a potential gender gap …