Best practice guidelines for propensity score methods in medical research: consideration on theory, implementation, and reporting. A review

JW Chen, DR Maldonado, BL Kowalski… - … : The Journal of …, 2022‏ - Elsevier
Rigorous and reproducible methodology of controlling for bias is essential for high-quality,
evidence-based studies. Propensity score matching (PSM) is a valuable way to control for …

Eflornithine as postimmunotherapy maintenance in high-risk neuroblastoma: Externally controlled, propensity score–matched survival outcome comparisons

J Oesterheld, W Ferguson, JM Kraveka… - Journal of Clinical …, 2024‏ - ascopubs.org
PURPOSE Long-term survival in high-risk neuroblastoma (HRNB) is approximately 50%,
with mortality primarily driven by relapse. Eflornithine (DFMO) to reduce risk of relapse after …

Causalvis: Visualizations for causal inference

G Guo, E Karavani, A Endert, BC Kwon - … of the 2023 CHI conference on …, 2023‏ - dl.acm.org
Causal inference is a statistical paradigm for quantifying causal effects using observational
data. It is a complex process, requiring multiple steps, iterations, and collaborations with …

Reappraisal of non-vitamin K antagonist oral anticoagulants in atrial fibrillation patients: a systematic review and meta-analysis

F Liu, Y Yang, W Cheng, J Ma, W Zhu - Frontiers in Cardiovascular …, 2021‏ - frontiersin.org
Background: Recent observational studies have compared effectiveness and safety profiles
between non-vitamin K antagonist oral anticoagulants (NOACs) and warfarin in patients with …

[HTML][HTML] From hackers to start-ups: Innovation commons and local entrepreneurial activity

A Cuntz, J Peuckert - Research Policy, 2023‏ - Elsevier
In hacker communities, tech-savvy pioneers collect and share information on nascent
technologies. The pool of information shared among users reduces uncertainty about digital …

Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score

PC Austin - Statistics in Medicine, 2021‏ - Wiley Online Library
Propensity score weighting is increasingly being used in observational studies to estimate
the effects of treatments. The use of such weights induces a within‐person homogeneity in …

Transparency of high‐dimensional propensity score analyses: guidance for diagnostics and reporting

J Tazare, R Wyss, JM Franklin, L Smeeth… - … and Drug Safety, 2022‏ - Wiley Online Library
Purpose The high‐dimensional propensity score (HDPS) is a semi‐automated procedure for
confounder identification, prioritisation and adjustment in large healthcare databases that …

Hdps: A suite of commands for applying high-dimensional propensity-score approaches

J Tazare, L Smeeth, SJW Evans, IJ Douglas… - The Stata …, 2023‏ - journals.sagepub.com
Large healthcare databases are increasingly used for research investigating the effects of
medications. However, a key challenge is capturing hard-to-measure concepts (often …

Intersectional sociodemographic and neurological relationships in the naming ability of persons with post-stroke aphasia

M Jacobs, E Evans, C Ellis - Journal of Communication Disorders, 2023‏ - Elsevier
Introduction Significant attention has been given to the role of brain function and disruption
in determining performance on naming tasks among individuals with aphasia. However …

[HTML][HTML] Association Between Ursodeoxycholic Acid and Clinical Outcomes in Patients With COVID-19 Infection: Population-Based Cohort Study

H Lee, MG Kim, SW Yeom, SJ Noh… - JMIR Public Health …, 2024‏ - publichealth.jmir.org
Background: Several studies have investigated the relationship between ursodeoxycholic
acid (UDCA) and COVID-19 infection. However, complex and conflicting results have …