A comparison of confounder selection and adjustment methods for estimating causal effects using large healthcare databases-Reference-Cited by-同舟云学术

A comparison of confounder selection and adjustment methods for estimating causal effects using large healthcare databases

Published:2022-01-07 Issue: Volume: Page:
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiology and Drug

Author:

Benasseur Imane¹²,Talbot Denis²³^ORCID,Durand Madeleine⁴⁵,Holbrook Anne⁶,Matteau Alexis⁴⁵,Potter Brian J.⁴⁵^ORCID,Renoux Christel⁷⁸⁹^ORCID,Schnitzer Mireille E.⁸¹⁰¹¹^ORCID,Tarride Jean‐Éric¹²¹³,Guertin Jason R.²³

Affiliation:

1. Département de Mathématiques et de Statistique Université Laval Québec Canada

2. Unité Santé des Populations et Pratiques Optimales en Santé CHU de Québec – Université Laval research center Québec Canada

3. Département de Médecine Sociale et Préventive Université Laval Québec Canada

4. Département de Médecine Université de Montréal Montréal Canada

5. CHUM Research Center Montreal Canada

6. Division of Clinical Pharmacology & Toxicology, Department of Medicine McMaster University Hamilton Canada

7. Centre for Clinical Epidemiology Lady Davis Institute for Medical Research – Jewish General Hospital Montreal Canada

8. Department of Epidemiology, Biostatistics, and Occupational Health McGill University Montréal Canada

9. Department of Neurology and Neurosurgery McGill University Montréal Canada

10. Faculty of Pharmacy Université de Montréal Montréal Canada

11. École de santé publique ‐ Département de médecine sociale et préventive Université de Montréal Montréal Canada

12. Department of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada

13. Programs for Assessment of Technology in Health The Research Institute of St. Joseph's Hamilton Canada

Funder

Canadian Institutes of Health Research

Fonds de Recherche du Québec - Santé

Natural Sciences and Engineering Research Council of Canada

Université Laval

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pds.5403

Reference35 articles.

1. Use of administrative medical databases in population‐based research;Gavrielov‐Yusim N;J Epidemiol Community Health,2014

2. Use of administrative data in healthcare research;Mazzali C;Intern Emerg Med,2015

3. Analysis of large databases in vascular surgery;Nguyen LL;J Vasc Surg,2010

4. Automated data‐adaptive analytics for electronic healthcare data to study causal treatment effects;Schneeweiss S;Clin Epidemiol,2018

5. High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Dimensional Propensity Score and Its Machine Learning Extensions in Residual Confounding Control;The American Statistician;2024-08-26

2. Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis;Environmental Health Perspectives;2023-12

3. Revascularization for left main coronary artery disease;European Heart Journal;2023-10-28

4. External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning;2022-01-30

5. A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the study of osteoporotic fractures;Journal of Causal Inference;2022-01-01