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

Xehetasun bibliografikoak
Egile Nagusiak:	Prats-Uribe, A, Ali, MS, Strauss, VY, Prieto-Alhambra, D
Formatua:	Conference item
Hizkuntza:	English
Argitaratua:	Wiley 2020

RW1 Hospital costs and outcomes of unicompartmental compared to total knee replacement for patients with multiple comorbidities: A population-based study
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Argitaratua: (2019)

DIFFERENT APPROACHES TO MINIMISE CONFOUNDING WHEN EMULATING A SURGICAL RANDOMISED CLINICAL TRIAL: AN APPLICATION TO PARTIAL VS TOTAL KNEE REPLACEMENT
nork: Prats-Uribe, A, et al.
Argitaratua: (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
nork: Du, MD, et al.
Argitaratua: (2023)

Unicompartmental compared with total knee replacement for patients with multimorbidities: a cohort study using propensity score stratification and inverse probability weighting
nork: Prats-Uribe, A, et al.
Argitaratua: (2021)

The risk of myocardial infarction and venous thromboembolism after partial or total knee arthroplasty: A self-controlled case series
nork: Robinson, DE, et al.
Argitaratua: (2020)

Unicompartmental compared with total knee replacement for patients with multimorbidities: a cohort study using propensity score stratification and inverse probability weighting
nork: Albert Prats-Uribe, et al.
Argitaratua: (2021-11-01)

Random effects modelling vs logistic regression for the inclusion of surgeon covariates in propensity scores for medical device epidemiology: A simulation study
nork: Du, M, et al.
Argitaratua: (2020)

Mapping existing hip and knee replacement registries in Europe
nork: Lübbeke, A, et al.
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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
nork: Mike Du, et al.
Argitaratua: (2023-03-01)

The role of national registries in improving patient safety for hip and knee replacements
nork: Lübbeke, A, et al.
Argitaratua: (2017)

Comparative effectiveness of tumour necrosis factor inhibitor therapy vs. conventional synthetic dmards on need for joint replacement among rheumatoid arthritis patients: A propensity score matched analysis of UK registry data
nork: Hawley, S, et al.
Argitaratua: (2018)

Total versus partial knee replacement in patients with medial compartment knee osteoarthritis: the TOPKAT RCT
nork: Beard, DJ, et al.
Argitaratua: (2020)

Comparing contemporary revision burden among hip and knee joint replacement registries
nork: Brian J. McGrory, MD, MS, et al.
Argitaratua: (2016-06-01)

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
nork: Prats-Uribe, A, et al.
Argitaratua: (2020)

Revision rates and postoperative mortality following total knee replacement in patients with rheumatoid compared to osteoarthritis: an analysis of data from the National Joint Registry for England, Wales and Northern Ireland
nork: Miller, L, et al.
Argitaratua: (2017)

Propensity score stratification and inverse probability weighting compared to surgical randomized clinical trial results in device epidemiology
nork: Strauss, V, et al.
Argitaratua: (2019)

Bisphosphonate use and risk of post-operative fracture among patients undergoing a total knee replacement for knee osteoarthritis: A propensity score analysis
nork: Prieto-Alhambra, D, et al.
Argitaratua: (2011)

Bisphosphonate use and risk of post-operative fracture among patients undergoing a total knee replacement for knee osteoarthritis: a propensity score analysis.
nork: Prieto-Alhambra, D, et al.
Argitaratua: (2011)

Knee and hip replacements and the risk of revision
nork: Burn, E, et al.
Argitaratua: (2019)

Partial knee replacement is associated with a lower risk of venous thromboembolism and opioid use than total knee replacement but increased risk of long-term revision: a multinational, multi-database, propensity score-matched, cohort analysis including over 280,000 patients
nork: Prieto-Alhambra, D, et al.
Argitaratua: (2019)

Treatment duration estimation based on claims vs primary care prescriptions data: an analysis of opioid use in the SIDIAP database
nork: Xie, J, et al.
Argitaratua: (2020)

Methods for medical device and surgical epidemiology: applications in knee replacement and COVID-19 related tracheotomy
nork: Prats Uribe, A
Argitaratua: (2022)

Evaluation of treatment effect modification in propensity score matching: An empirical example
nork: Ali, M, et al.
Argitaratua: (2018)

The comparative performance of logistic regression and random forest in propensity score methods: A simulation study
nork: Ali, M, et al.
Argitaratua: (2017)

Cardinality matching versus propensity score matching for addressing cluster-level residual confounding in implantable medical device and surgical epidemiology: a parametric and plasmode simulation study
nork: Du, M, et al.
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Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis
nork: Guo, Y, et al.
Argitaratua: (2024)

Incidence of total hip and knee replacement in UK patients with ankylosing spondylitis
nork: Hawley, S, et al.
Argitaratua: (2018)

Reverse total shoulder replacement versus anatomical total shoulder replacement for osteoarthritis: population based cohort study using data from the National Joint Registry and Hospital Episode Statistics for England
nork: Valsamis, E, et al.
Argitaratua: (2024)

New surgical instrumentation reduces the revision rate of unicompartmental knee replacement: A propensity score matched comparison of 15,906 knees from the National Joint Registry
nork: Mohammad, HR, et al.
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Infection after total joint replacement of the hip and knee: research programme including the INFORM RCT
nork: Ashley W Blom, et al.
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Need for total hip and knee replacement in ankylosing spondylitis patients in England and Wales
nork: Sacks, S, et al.
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E-cigarettes compared with nicotine replacement therapy within the UK Stop Smoking Services: the TEC RCT
nork: Peter Hajek, et al.
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A joint application of disease risk score and propensity score to control for confounding: A clinical example
nork: Ali, M, et al.
Argitaratua: (2018)

ASSOCIATION BETWEEN CHONDROITIN SULPHATE USE AND THE RISK OF TOTAL KNEE ARTRHOPLASTY IN OSTEOARTHITIS PATIENTS: A PROPENSITY-SCORE MATCHED COHORT STUDY
nork: Prieto-Alhambra, D, et al.
Argitaratua: (2013)

Covariate balance assessment in propensity score matching after multiple imputation with chained equations: An empirical example
nork: Ali, MS, et al.
Argitaratua: (2018)

Further reflections on TOPKAT and Partial vs. Total Knee Replacement-response to authors
nork: Beard, DJ, et al.
Argitaratua: (2020)

Revision rates and postoperative mortality following total hip replacement in patients with rheumatoid compared to osteoarthritis: an analysis of data from the National Joint Registry for England, Wales and Northern Ireland
nork: Miller, L, et al.
Argitaratua: (2017)

Cohort profile: the St Vincent’s Melbourne Arthroplasty Outcomes (SMART) Registry, a pragmatic prospective database defining outcomes in total hip and knee replacement patients
nork: Michelle M Dowsey, et al.
Argitaratua: (2021-01-01)

Comparative effectiveness of the BNT162b2 and ChAdOx1 vaccines against Covid-19 in people over 50
nork: Xie, J, et al.
Argitaratua: (2022)

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

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