Matching using estimated propensity scores: relating theory to practice.

Keywords

Matching (statistics), Range (aeronautics), Mathematics, Monte Carlo method, Propensity score matching

References

• Skills acquisition among matched samples of institutionalized and community-based persons with mental retardation.Elizabeth A. Eastwood, Gene A. Fisher — 1988
• Controlling Bias in Observational Studies: A Review.William G. Cochran — 1974
• Asymptotics of Graphical Projection PursuitPersi Diaconis, David H. Freedman — 1984
• Affinely Invariant Matching Methods with Ellipsoidal DistributionsDonald B. Rubin, Neal Thomas — 1992
• Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational StudiesDonald B. Rubin — 1978
• Robustness of Fisher's Linear Discriminant Function under Two-Component Mixed Normal ModelsT. Ashikaga, P. C. Chang — 1981
• BIAS REDUCTION USING MAHALANOBIS METRIC MATCHINGDonald B. Rubin — 1978
• MULTIVARIATE MATCHING METHODS THAT ARE EQUAL PERCENT BIAS REDUCING, I: SOME EXAMPLESDonald B. Rubin — 1974
• Comparison of Multivariate Matching Methods: Structures, Distances, and AlgorithmsXing Gu, Paul R. Rosenbaum — 1993
• Multivariate Correlation Models with Mixed Discrete and Continuous VariablesIngram Olkin, R. F. Tate — 1961
• Characterizing the effect of matching using linear propensity score methods with normal distributionsDonald B. Rubin, Neal Thomas — 1992
• Effects of misspecification of the propensity score on estimators of treatment effectChristiana Drake — 1993
• Dropping out of High School in the United States: An Observational StudyPaul R. Rosenbaum — 1986
• Improving Primary Care in Nursing HomesRobert L Kane, Judith Garrard, Joan L. Buchanan — 1991
• The Efficiency of Logistic Regression Compared to Normal Discriminant AnalysisBradley Efron — 1975
• Multivariate matching methods that are equal percent bias reducingDonald B. Rubin — 1974
• Symmetric Multivariate and Related DistributionsSanat K. Sarkar, Kai-Tai Fang, Samuel Kotz — 1989
• Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity ScorePaul R. Rosenbaum, Donald B. Rubin — 1985
• The central role of the propensity score in observational studies for causal effectsPaul R. Rosenbaum, Donald B. Rubin — 1983
• Sliced Inverse Regression for Dimension ReductionKer-Chau Li — 1991

Cited by

• Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3Hideko Matsuo, Jaak Billiet, Geert Loosveldt — 2010
• A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.Karl‐Heinz Narjes — 2006
• Campbell's and Rubin's perspectives on causal inference.Stephen G. West, Felix Thoemmes — 2010
• Measuring balance and model selection in propensity score methodsЭксакусто Татьяна Валентиновна — 2011
• Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model Averaged Causal Effects김선민 — 2014
• A community-engaged randomized controlled trial of an integrative intervention with HIV-positive, methamphetamine-using men who have sex with menAnthony Clive Hall — 2016
• Effectiveness of Ultrasound-Guided compared to Blind Steroid Injections in the Treatment of Carpal Tunnel SyndromeCarlos Martínez de Tejada Del Rosal — 2017
• Healthy donor effect and satisfaction with healthEdlira Shehu, Annette Hofmann, Michel Clément — 2015
• Propensity Score‐Based Methods in Comparative Effectiveness Research on Coronary Artery DiseaseAlexandra G. Ellis, Thomas A Trikalinos, Benjamin S. Wessler — 2018
• Propensity score methods to adjust for confounding in assessing treatment effects: bias and precisionZhiqiang Wang — 2008
• Testing for covariate balance in comparative studiesYevgeniya N. Kleyman — 2009
• Labor Market Inequality and Atypical Employment.Debra Hevenstone — 2008
• THE ROLE OF EU AGRI-ENVIRONMENTAL PROGRAMMES: A FARM LEVEL ANALYSIS BY PROPENSITY SCORE MATCHING AND BY POSITIVE MATHEMATICAL PROGRAMMING INCORPORATING RISKLinda Arata — 2014
• Rejoinder: Reinvestigating the Causal Relationship between Higher Education and Political ParticipationCindy D. Kam, Carl L. Palmer — 2011
• Longitudinal studies 4: Matching strategies to evaluate risk.Matthew T. James — 2015
• Matching methods for selection of subjects for follow-upElizabeth A. Stuart, Nicholas S. Lalongo — 2010
• Medical management after major burns incidentsWelling, L. — 2006
• Methods to control for overt and hidden biases in comparative studiesCarrie Hosman — 2011
• Does microfinance have an impact? Three quantitative approaches in rural areas of Bangladesh and Andhra Pradesh, IndiaGonzález Carreras, Francisco José — 2012
• The Performance of Performance-Based Contracting in Human ServicesJiahuan Lu — 2014

Related papers

• Propensity score methods and their application in nephrology research.Lianne Barnieh, Matthew T. James, Jianguo Zhang — 2011
• Applying Propensity Score Methods in Clinical Research in NeurologyPeter C. Austin, Amy Yu, Manav V. Vyas — 2021
• A Review of Propensity-Score Methods and Their Use in Cardiovascular Research.Saswata Deb, Peter C. Austin, Jack V. Tu — 2016
• An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational StudiesPeter C. Austin — 2011
• Propensity Score Matching in Observational Research.Patrick Schober, Thomas R. Vetter — 2020
• Against normality testingPaolo Frumento — 2023
• A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on MortalityPeter C. Austin — 2011
• Conditional probability of survival in patients with spontaneous tumor rupture on hepatocellular carcinoma after partial hepatectomy: a propensity score matching analysisQian Zhu, Guoliang Qiao, Wan Yee Lau — 2018
• normal spaces and decompositions of normalityAnanga Kumar Das — 2009
• A note on spaces between normal and k-normal spacesKumar Das — 2013