Adjusting for indirectly measured confounding using large-scale propensity score
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Adjusting for indirectly measured confounding using large-scale propensity score
Authors
Keywords
-
Journal
JOURNAL OF BIOMEDICAL INFORMATICS
Volume 134, Issue -, Pages 104204
Publisher
Elsevier BV
Online
2022-09-13
DOI
10.1016/j.jbi.2022.104204
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Glucagon-Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Exacerbations Among Patients With Type 2 Diabetes
- (2021) Yasser Albogami et al. DIABETES CARE
- Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension
- (2020) George Hripcsak et al. JAMA Internal Medicine
- Channeling Bias in the Analysis of Risk of Myocardial Infarction, Stroke, Gastrointestinal Bleeding, and Acute Renal Failure with the Use of Paracetamol Compared with Ibuprofen
- (2020) Rachel B. Weinstein et al. DRUG SAFETY
- Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis
- (2020) Yeesuk Kim et al. Scientific Reports
- Evaluation of disability in patients exposed to fluoroquinolones
- (2020) Marsha A. Wilcox et al. BMC Pharmacology & Toxicology
- The Blessings of Multiple Causes
- (2019) Yixin Wang et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis
- (2019) Marc A Suchard et al. LANCET
- OUP accepted manuscript
- (2018) BIOMETRIKA
- Evaluating large-scale propensity score performance through real-world and synthetic data experiments
- (2018) Yuxi Tian et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data
- (2018) Martijn J. Schuemie et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Use of Antihypertensive Agents and Association With Risk of Adverse Outcomes in Chronic Kidney Disease: Focus on Angiotensin‐Converting Enzyme Inhibitors and Angiotensin Receptor Blockers
- (2018) Elaine Ku et al. Journal of the American Heart Association
- Angiotensin converting enzyme inhibitors and risk of lung cancer: population based cohort study
- (2018) Blánaid M Hicks et al. BMJ-British Medical Journal
- Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network
- (2017) Jon D. Duke et al. EPILEPSIA
- Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1.
- (2016) Miguel A. Hernán et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Comparative Effectiveness of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers in Terms of Major Cardiovascular Disease Outcomes in Elderly Patients
- (2015) Shu-Chen Chien et al. MEDICINE
- Measurement bias and effect restoration in causal inference
- (2014) M. Kuroki et al. BIOMETRIKA
- Diabetes and CVD risk during angiotensin-converting enzyme inhibitor or angiotensin II receptor blocker treatment in hypertension: a study of 15 990 patients
- (2014) L P Hasvold et al. JOURNAL OF HUMAN HYPERTENSION
- Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model
- (2013) Marc A. Suchard et al. ACM Transactions on Modeling and Computer Simulation
- Empirical Performance of a New User Cohort Method: Lessons for Developing a Risk Identification and Analysis System
- (2013) Patrick B. Ryan et al. DRUG SAFETY
- Bias attenuation results for nondifferentially mismeasured ordinal and coarsened confounders
- (2012) E. L. Ogburn et al. BIOMETRIKA
- Effects of Adjusting for Instrumental Variables on Bias and Precision of Effect Estimates
- (2011) Jessica A. Myers et al. AMERICAN JOURNAL OF EPIDEMIOLOGY
- Invited Commentary: Understanding Bias Amplification
- (2011) J. Pearl AMERICAN JOURNAL OF EPIDEMIOLOGY
- Comparative Effectiveness of Angiotensin-Converting Enzyme Inhibitors Versus β-Blockers as Second-Line Therapy for Hypertension
- (2010) David J. Magid et al.
- Matching Methods for Causal Inference: A Review and a Look Forward
- (2010) Elizabeth A. Stuart STATISTICAL SCIENCE
- Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
- (2009) Peter C. Austin COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
- High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data
- (2009) Sebastian Schneeweiss et al. EPIDEMIOLOGY
- Should observational studies be designed to allow lack of balance in covariate distributions across treatment groups?
- (2009) Donald B. Rubin STATISTICS IN MEDICINE
- Remarks on the method of propensity score
- (2009) Judea Pearl STATISTICS IN MEDICINE
- Propensity scores
- (2009) Ian Shrier STATISTICS IN MEDICINE
- Propensity scores and M-structures
- (2009) Arvid Sjölander STATISTICS IN MEDICINE
- Author's Reply
- (2008) Donald B. Rubin STATISTICS IN MEDICINE
- Letter to the Editor
- (2007) Ian Shrier STATISTICS IN MEDICINE
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started