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Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores [article]

Laura Forastiere, Fabrizia Mealli, Albert Wu, Edoardo Airoldi
2018 arXiv   pre-print
Adjustment for propensity score is performed using a penalized spline regression.  ...  Under these assumptions we develop a new covariate-adjustment estimator for treatment and spillover effects in observational studies on networks.  ...  An alternative approach is to replace the model-based adjustment for the individual propensity score with a matching approach.  ... 
arXiv:1807.11038v1 fatcat:kytmxjg4fzcpfeknsxzy6xnvmq

Using propensity scores to adjust for selection bias when assessing the effectiveness of Alcoholics Anonymous in observational studies

Yu Ye, Lee Ann Kaskutas
2009 Drug and Alcohol Dependence  
PS stratification and PS matching techniques were used to adjust for the self-select bias associated with respondents' propensity to attend AA.  ...  However, the effect modification by propensity scores in both PS stratification and PS matching approaches seems to suggest that AA may be most helpful, or matter more, for those with a lower propensity  ...  This paper uses propensity scores to assess AA effectiveness before and after adjusting for one's propensity to go to AA.  ... 
doi:10.1016/j.drugalcdep.2009.03.018 pmid:19457623 pmcid:PMC2713354 fatcat:2txyooupbvchdn3yg7hly5sijq

Association of Provider Performance with Changes in Insurance Networks

Katherine Piwnica-Worms, Jacob Wallace, Anthony Lollo, Chima D. Ndumele
2020 Journal of general internal medicine  
Differences in quality and cost between providers that exited and remained in managed care networks were estimated using a propensity score model to match exiting to nonexiting providers.  ...  Providers exiting Medicaid managed care plans appear to have lower quality scores in the year prior to their exit than the providers who remain in network.  ...  Chwala received only salary compensation for their role in the study.  ... 
doi:10.1007/s11606-020-05784-4 pmid:32378005 fatcat:7afmj64az5c2rjry2chcovmck4

Bias when using propensity score methods to adjust for covariates that are not confounders

V.M. Chia, J.H. Page
2014 Value in Health  
However, the learning curve for using WinBUGS to conduct network meta-analyses successfully can be daunting, especially for new users.  ...  This tool allows the user to modify assumptions and to run the network meta-analysis, and results are returned to an Excel spreadsheet.  ...  PP patients unmatched to registry controls were matched to claims controls using a 1:1 propensity score matching.  ... 
doi:10.1016/j.jval.2014.03.1176 fatcat:cfxo32c4szej3ibw3nmg7p2rsq

Propensity Score Methods in Health Technology Assessment: Principles, Extended Applications, and Recent Advances

M Sanni Ali, Daniel Prieto-Alhambra, Luciane Cruz Lopes, Dandara Ramos, Nivea Bispo, Maria Y. Ichihara, Julia M. Pescarini, Elizabeth Williamson, Rosemeire L. Fiaccone, Mauricio L. Barreto, Liam Smeeth
2019 Frontiers in Pharmacology  
Propensity score approaches have been used to achieve balance or comparability of treatment groups in terms of their measured pretreatment covariates thereby controlling for confounding bias in estimating  ...  In this article, we present a review of the propensity scores methods, extended applications, recent advances, and their strengths and limitations.  ...  To account for covariate imbalances, subgroup analyses of propensity score matched cohorts involve: i) adjusting for covariates in the outcome model or ii) re-matching within the subgroups either using  ... 
doi:10.3389/fphar.2019.00973 pmid:31619986 pmcid:PMC6760465 fatcat:zadct6xhq5dcrc2ckm5foxftre

Survival crossover adjustment and cost effectiveness analysis: An empirical and methodological review with application

R.B. Hopkins, K. Campbell, N. Burke, M. Levine, L. Thabane, M. Duong, D. Shum, R. Goeree
2014 Value in Health  
ConClusions: Use of this freely available Microsoft-Excel based tool successfully demonstrated its ability to make running network meta-analyses more accessible to novice WinBUGS users, and facilitate  ...  strate the application of our freely available Microsoft-Excel based tool using an example of a network meta-analysis of anti-platelet agents in patients scheduled for percutaneous coronary inteventions  ...  PP patients unmatched to registry controls were matched to claims controls using a 1:1 propensity score matching.  ... 
doi:10.1016/j.jval.2014.03.1178 fatcat:tigaeunubfes5msh62v5ua2g4e

Willingness to Participate in Accountable Care Organizations

Thomas T.H. Wan, Maysoun Demachkie Masri, Judith Ortiz, Blossom Y. J. Lin
2014 The Health Care Manager  
Propensity score matching and analysis are used to adjust the state and regional variations.  ...  The effect of perceived benefits and barriers of the commitment to develop a strategic plan for ACOs and willingness to participate in ACOs is analyzed, using organizational social capital, health information  ...  The statistical control of confounders or adjustment for biased selection in social science research has led to the development of propensity score matching and analysis.  ... 
doi:10.1097/01.hcm.0000440625.92879.e8 pmid:24463593 pmcid:PMC4050369 fatcat:rc6y3fa3frhapplrvrubiqrx3y

Why to use propensity score in observational studies? Case study based on data from the Czech clinical database AHEAD 2006–09

Simona Littnerova, Jiri Jarkovsky, Jiri Parenica, Tomas Pavlik, Jindrich Spinar, Ladislav Dusek
2013 Cor et Vasa  
One of them is the propensity score which has been frequently used in recent times to estimate relevant clinical effects adjusted for given confounders.  ...  This work aims to provide a concise and practical guide to propensity scores by means of an easily understandable case study.  ...  Acknowledgment We thank the AHEAD study investigators for their contribution to the study. Participating centers and investigators:  ... 
doi:10.1016/j.crvasa.2013.04.001 fatcat:l3rdc3wz65ep3gueubyoyouoou

Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores [article]

Keith W. Zirkle, Marie-Abele Bind, Jenise L. Swall, David C. Wheeler
2021 arXiv   pre-print
We find that pruning and matching based on the propensity score produces the highest probability coverage of the true causal effects and lower mean squared error.  ...  We use propensity score-based methods to estimate these effects when considering the effects of the Environmental Protection Agency's 2005 nonattainment designations for particulate matter with aerodynamic  ...  d , (15) whereυ d is the linear adjustment for each propensity score strata.  ... 
arXiv:2101.09297v1 fatcat:7lisulw3afe3xkmecocrwfyejy

Matching with multiple control groups to maximize use of registry data from patients with schizophrenia

J. Lopatto, X. Song, P. Juneau, C. Benson, W.H. Olson, J. Fastenau
2014 Value in Health  
ConClusions: Use of this freely available Microsoft-Excel based tool successfully demonstrated its ability to make running network meta-analyses more accessible to novice WinBUGS users, and facilitate  ...  strate the application of our freely available Microsoft-Excel based tool using an example of a network meta-analysis of anti-platelet agents in patients scheduled for percutaneous coronary inteventions  ...  PP patients unmatched to registry controls were matched to claims controls using a 1:1 propensity score matching.  ... 
doi:10.1016/j.jval.2014.03.1180 fatcat:qpgcpghpnjhwblfvxy4qmblqru

A microsoft-excel based tool for running and critically appraising simple network meta-analyses using winbugs – an overview and application

S.T. Brown, C. Cameron, D.T. Grima, G. Wells
2014 Value in Health  
ConClusions: Use of this freely available Microsoft-Excel based tool successfully demonstrated its ability to make running network meta-analyses more accessible to novice WinBUGS users, and facilitate  ...  strate the application of our freely available Microsoft-Excel based tool using an example of a network meta-analysis of anti-platelet agents in patients scheduled for percutaneous coronary inteventions  ...  PP patients unmatched to registry controls were matched to claims controls using a 1:1 propensity score matching.  ... 
doi:10.1016/j.jval.2014.03.1179 fatcat:deeuo5l6o5blzehfomgqqdl42q

Risk on using logistic regression to illustrate exposure-response relationship of infectious disease

J. Ren, C. Asche, C.S. Kirkness
2014 Value in Health  
ConClusions: Use of this freely available Microsoft-Excel based tool successfully demonstrated its ability to make running network meta-analyses more accessible to novice WinBUGS users, and facilitate  ...  strate the application of our freely available Microsoft-Excel based tool using an example of a network meta-analysis of anti-platelet agents in patients scheduled for percutaneous coronary inteventions  ...  PP patients unmatched to registry controls were matched to claims controls using a 1:1 propensity score matching.  ... 
doi:10.1016/j.jval.2014.03.1181 fatcat:5qqclyuujbfn3il3pnutanpzqy

Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates [article]

Katherine A. Keith, David Jensen, Brendan O'Connor
2020 arXiv   pre-print
Despite increased attention on adjusting for confounding using text, there are still many open problems, which we highlight in this paper.  ...  This review is the first to gather and categorize these examples and provide a guide to data-processing and evaluation decisions.  ...  helpful feedback, as well as the anonymous referees for detailed peer reviews.  ... 
arXiv:2005.00649v1 fatcat:kurzsl5plzc2xbc6nyrz5wwqdu

Association of Structured Virtual Visits for Hypertension Follow-Up in Primary Care with Blood Pressure Control and Use of Clinical Services

David Michael Levine, Ronald F. Dixon, Jeffrey A. Linder
2018 Journal of general internal medicine  
DESIGN: Propensity score-matched, retrospective cohort study with adjustment by difference-in-differences. PARTICIPANTS: Primary care patients with hypertension.  ...  BVirtual visits^are structured asynchronous online interactions between a patient and a clinician to extend medical care beyond the initial office visit.  ...  Propensity Score Matching Analysis We used propensity score matching to create comparable cohorts of virtual visit and usual care patients.  ... 
doi:10.1007/s11606-018-4375-0 pmid:29687432 fatcat:wjrmcbsqybhxvlseiel526mhwa

Introduction to the Vol.45, No.2, 2018

Maomi Ueno
2018 Behaviormetrika  
This paper examined the effectiveness post hoc adjustment approaches such as propensity score matching in reducing the selection bias of synthetic cohort design (SCD) for causal inference.  ...  This review provides beneficial information about propensity score methods from the historical point of view and helps researchers to select appropriate propensity score methods for their observational  ... 
doi:10.1007/s41237-018-0074-8 fatcat:pjldxzijfzeptbnru7pgf2ilxu
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