Corrected score methods for estimating Bayesian networks with error-prone nodes.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.8925
Abstract: Motivated by inferring cellular signaling networks using noisy flow cytometry data, we develop procedures to draw inference for Bayesian networks based on error-prone data. Two methods for inferring causal relationships between nodes in a network… read more here.
Keywords: bayesian networks; corrected score; methods estimating; error prone ... See more keywords
A systematic review of propensity score methods in the acute care surgery literature: avoiding the pitfalls and proposing a set of reporting guidelines
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Trauma and Emergency Surgery"
DOI: 10.1007/s00068-017-0786-6
Abstract: BackgroundPropensity score methods are techniques commonly employed in observational research to account for confounding when estimating the effects of treatments and exposures. These methods have been increasingly employed in the acute care surgery literature in… read more here.
Keywords: surgery; literature; propensity score; score ... See more keywords
Benchmarking Observational Analyses Against Randomized Trials: a Review of Studies Assessing Propensity Score Methods
Sign Up to like & getrecommendations! Published in 2020 at "Journal of General Internal Medicine"
DOI: 10.1007/s11606-020-05713-5
Abstract: Background Observational analysis methods can be refined by benchmarking against randomized trials. We reviewed studies systematically comparing observational analyses using propensity score methods against randomized trials to explore whether intervention or outcome characteristics predict agreement… read more here.
Keywords: observational analyses; propensity score; propensity; randomized trials ... See more keywords
Propensity score methods for causal inference: an overview
Sign Up to like & getrecommendations! Published in 2018 at "Behaviormetrika"
DOI: 10.1007/s41237-018-0058-8
Abstract: Propensity score methods are popular and effective statistical techniques for reducing selection bias in observational data to increase the validity of causal inference based on observational studies in behavioral and social science research. Some methodologists… read more here.
Keywords: causal inference; propensity score; score methods;
Practical considerations of utilizing propensity score methods in clinical development utilizing real-world and historical data.
Sign Up to like & getrecommendations! Published in 2020 at "Contemporary clinical trials"
DOI: 10.1016/j.cct.2020.106123
Abstract: In recent years, with the rapid increase in the volume and accessibility of Real-World-Data (RWD) and Real-World-Evidence (RWE), we have seen the unprecedented opportunities for their use in drug clinical development and life-cycle management. RWD… read more here.
Keywords: clinical development; propensity; propensity score; score methods ... See more keywords
Evaluation of propensity score methods for causal inference with high-dimensional covariates
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac227
Abstract: In recent work, researchers have paid considerable attention to the estimation of causal effects in observational studies with a large number of covariates, which makes the unconfoundedness assumption plausible. In this paper, we review propensity… read more here.
Keywords: propensity score; causal inference; based methods; score methods ... See more keywords
Quality of Conduct and Reporting of Propensity Score Methods in Studies Investigating the Effectiveness of Antimicrobial Therapy
Sign Up to like & getrecommendations! Published in 2022 at "Open Forum Infectious Diseases"
DOI: 10.1093/ofid/ofac110
Abstract: Abstract Background Propensity score methods are becoming increasingly popular in infectious disease medicine to correct for confounding in observational studies. However, applying and reporting propensity score techniques correctly requires substantial knowledge of these methods. The… read more here.
Keywords: propensity score; quality; score methods; therapy ... See more keywords
Critical appraisal of the application of propensity score methods in the urology literature
Sign Up to like & getrecommendations! Published in 2017 at "BJU International"
DOI: 10.1111/bju.13930
Abstract: To determine whether studies that used propensity score (PS) methods in the urology literature provide sufficient detail to allow scientific reproducibility and whether appropriate statistical tests were used to obtain valid measures of effect. read more here.
Keywords: urology literature; propensity score; urology; score methods ... See more keywords
Recommendations for the use of propensity score methods in multiple sclerosis research.
Sign Up to like & getrecommendations! Published in 2022 at "Multiple sclerosis"
DOI: 10.1177/13524585221085733
Abstract: BACKGROUND With many disease-modifying therapies currently approved for the management of multiple sclerosis, there is a growing need to evaluate the comparative effectiveness and safety of those therapies from real-world data sources. Propensity score methods… read more here.
Keywords: propensity score; score methods; multiple sclerosis; propensity ... See more keywords
Understanding differences between what alternate propensity score methods estimate.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of managed care & specialty pharmacy"
DOI: 10.18553/jmcp.2023.29.4.391
Abstract: BACKGROUND: Many approaches to propensity score methods are used in the applied health economics and outcomes research literature. Often this creates confusion when different approaches produce different results for the same data. OBJECTIVE: To present… read more here.
Keywords: propensity score; treatment effect; score methods; propensity ... See more keywords