Pneumococcal vaccination prevented severe LRTIs in adults: a causal inference framework applied in registry data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Pneumococcal vaccination prevented severe LRTIs in adults: a causal inference framework applied in registry data
Authors
Keywords
Pneumococcal vaccine, Relative risk, Causal inference, Propensity score, Registry data, Machine learning
Journal
JOURNAL OF CLINICAL EPIDEMIOLOGY
Volume 143, Issue -, Pages 118-127
Publisher
Elsevier BV
Online
2021-12-09
DOI
10.1016/j.jclinepi.2021.12.008
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Immunogenicity following revaccination or sequential vaccination with 23-valent pneumococcal polysaccharide vaccine (PPSV23) in older adults and those at increased risk of pneumococcal disease: a review of the literature
- (2021) Allan W. Cripps et al. Expert Review of Vaccines
- Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients
- (2021) Pavlos Mamouris et al. BMC Medical Research Methodology
- Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys
- (2020) Ramón Ferri-García et al. PLoS One
- Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
- (2020) Theo Vos et al. LANCET
- Statistical primer: propensity score matching and its alternatives†
- (2018) Umberto Benedetto et al. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
- Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
- (2018) Christopher Troeger et al. LANCET INFECTIOUS DISEASES
- The Right Tool for the Job
- (2017) Claude M. Setodji et al. EPIDEMIOLOGY
- Comparison of Propensity Score Methods and Covariate Adjustment
- (2017) Markus C. Elze et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016
- (2017) Mohsen Naghavi et al. LANCET
- Propensity score analysis with partially observed covariates: How should multiple imputation be used?
- (2017) Clémence Leyrat et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- 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
- Pneumococcal lower respiratory tract infections in adults: an observational case-control study in primary care in Belgium
- (2015) Johan Flamaing et al. BMC Family Practice
- Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
- (2015) Peter C. Austin et al. STATISTICS IN MEDICINE
- Adherence to guidelines on antibiotic treatment for respiratory tract infections in various categories of physicians: a retrospective cross-sectional study of data from electronic patient records
- (2015) David Tell et al. BMJ Open
- Risk factors for community-acquired pneumonia in adults in Europe: a literature review
- (2013) Antoni Torres et al. THORAX
- A comparison of two methods of estimating propensity scores after multiple imputation
- (2012) Robin Mitra et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
- (2011) Peter C. Austin MULTIVARIATE BEHAVIORAL RESEARCH
- Pneumococcal vaccination in adults: Does it really work?
- (2011) Georgia G. Pitsiou et al. RESPIRATORY MEDICINE
- BART: Bayesian additive regression trees
- (2010) Hugh A. Chipman et al. Annals of Applied Statistics
- Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
- (2010) Daniel Westreich et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Bayesian Nonparametric Modeling for Causal Inference
- (2010) Jennifer L. Hill JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Improving propensity score weighting using machine learning
- (2009) Brian K. Lee et al. STATISTICS IN MEDICINE
- Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
- (2009) Peter C. Austin STATISTICS IN MEDICINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now