The performance of instrumental variables in medical device epidemiology: A simulation study of non-normally distributed continuous outcome data based on real world post-operative PROMs
Main Authors: | Prats-Uribe, A, Ali, MS, Strauss, VY, Prieto-Alhambra, D |
---|---|
Format: | Conference item |
Language: | English |
Published: |
Wiley
2020
|
Similar Items
-
Multi-level propensity scores in comparative effectiveness research on medical devices: A pragmatic example of partial vs total knee replacement using national joint registry data compared to RCT findings
by: Prats-Uribe, A, et al.
Published: (2020) -
Random effects modelling vs logistic regression for the inclusion of surgeon covariates in propensity scores for medical device epidemiology: A simulation study
by: Du, M, et al.
Published: (2020) -
The performance of preference-based instrumental variables to emulate a randomised clinical trial of comparative medical device effectiveness
by: Prats-Uribe, A, et al.
Published: (2019) -
Random effects modelling versus logistic regression for the inclusion of cluster-level covariates in propensity score estimation: a Monte Carlo simulation and registry cohort analysis
by: Du, MD, et al.
Published: (2023) -
The risk of myocardial infarction and venous thromboembolism after partial or total knee arthroplasty: A self-controlled case series
by: Robinson, DE, et al.
Published: (2020)