Matching Using Estimated Propensity Scores: Relating Theory to Practice

SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING

Caliendo, M., & Kopeinig, S. (2008) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2007.00527.x · Cited by 6,238

Matching Methods for Causal Inference: A Review and a Look Forward

Stuart, E. A. (2010) · Statistical Science · doi:10.1214/09-sts313 · Cited by 5,478

Recent Developments in the Econometrics of Program Evaluation

Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926

On making causal claims: A review and recommendations

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010) · The Leadership Quarterly · doi:10.1016/j.leaqua.2010.10.010 · Cited by 2,441

Variable Selection for Propensity Score Models

Brookhart, M. A., Schneeweiss, S., Rothman, K. J., Glynn, R. J., Avorn, J., & Stürmer, T. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj149 · Cited by 2,336

Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation

Rubin, D. B. (2001) · Health Services and Outcomes Research Methodology · doi:10.1023/a:1020363010465 · Cited by 2,228

Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization

Hirano, K., & Imbens, G. W. (2001) · Health Services and Outcomes Research Methodology · doi:10.1023/a:1020371312283 · Cited by 1,039

THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA

Winship, C., & Morgan, S. L. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.659 · Cited by 890

Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research.

Harder, V. S., Stuart, E. A., & Anthony, J. C. (2010) · Psychological Methods · doi:10.1037/a0019623 · Cited by 802

Optimal Full Matching and Related Designs via Network Flows

Hansen, B. B., & Klopfer, S. O. (2006) · Journal of Computational and Graphical Statistics · doi:10.1198/106186006x137047 · Cited by 703

Statistical primer: propensity score matching and its alternatives

Benedetto, U., Head, S. J., Angelini, G. D., & Blackstone, E. H. (2018) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezy167 · Cited by 695

Cardiovascular, bleeding, and mortality risks in elderly medicare patients treated with dabigatran or warfarin for nonvalvular atrial fibrillation

Graham, D. J., Reichman, M. E., Wernecke, M., Zhang, R., Southworth, M. R., Levenson, M., Sheu, T.-C., Mott, K., Goulding, M. R., Houstoun, M., et al. (2015) · Circulation · doi:10.1161/circulationaha.114.012061 · Cited by 644

A Systematic Review of Propensity Score Methods in the Social Sciences

Thoemmes, F. J., & Kim, E. S. (2011) · Multivariate Behavioral Research · doi:10.1080/00273171.2011.540475 · Cited by 577

Cumulative advantage processes as mechanisms of inequality in life course health

Willson, A. E., Shuey, K. M., & Elder, Jr. (2007) · American Journal of Sociology · doi:10.1086/512712 · Cited by 541

Diabetes in Midlife and Cognitive Change Over 20 Years: A Cohort Study

Rawlings, A. M., Sharrett, A. R., Schneider, A. L. C., Coresh, J., Albert, M., Couper, D., Griswold, M., Gottesman, R. F., Wagenknecht, L. E., Windham, B. G., et al. (2014) · Annals of Internal Medicine · doi:10.7326/m14-0737 · Cited by 447

Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence

Zhao, Z. (2004) · Review of Economics and Statistics · doi:10.1162/003465304323023705 · Cited by 389

Selecting an Appropriate Caliper Can Be Essential for Achieving Good Balance With Propensity Score Matching

Lunt, M. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwt212 · Cited by 358

Matching as a Tool to Decompose Wage Gaps

Ñopo, H. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.2.290 · Cited by 355

Prognostic Significance of Dyspnea in Patients Referred for Cardiac Stress Testing

Abidov, A., Rozanski, A., Hachamovitch, R., Hayes, S. W., Aboul-Enein, F., Cohen, I., Friedman, J. D., Germano, G., & Berman, D. S. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa042741 · Cited by 297

Drawing conclusions about causes from systematic reviews of risk factors: The Cambridge Quality Checklists

Murray, J., Farrington, D. P., & Eisner, M. P. (2009) · Journal of Experimental Criminology · doi:10.1007/s11292-008-9066-0 · Cited by 280

Assessment of safety and efficacy of long-term treatment with combination lumacaftor and ivacaftor therapy in patients with cystic fibrosis homozygous for the F508del-CFTR mutation (PROGRESS): a phase 3, extension study

Konstan, M. W., McKone, E. F., Moss, R. B., Marigowda, G., Tian, S., Waltz, D., Huang, X., Lubarsky, B., Rubin, J., Millar, S. J., et al. (2017) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(16)30427-1 · Cited by 259

An application of propensity score matching using claims data

Seeger, J. D., Williams, P. L., & Walker, A. M. (2005) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.1062 · Cited by 218

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

Ali, M. S., Prieto-Alhambra, D., Lopes, L. C., Ramos, D., Bispo, N., Ichihara, M. Y., Pescarini, J. M., Williamson, E., Fiaccone, R. L., Barreto, M. L., et al. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00973 · Cited by 200

Association between renin-angiotensin system blockade discontinuation and all-cause mortality among persons with low estimated glomerular filtration rate

Qiao, Y., Shin, J.-I., Chen, T. K., Inker, L. A., Coresh, J., Alexander, G. C., Jackson, J. W., Chang, A. R., & Grams, M. E. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0193 · Cited by 199

Effects of a Universal Parenting Program for Highly Adherent Parents: A Propensity Score Matching Approach

Eisner, M., Nagin, D., Ribeaud, D., & Malti, T. (2012) · Prevention Science · doi:10.1007/s11121-011-0266-x · Cited by 89

Positive Mental Health and Academic Achievement in Elementary School: New Evidence From a Matching Analysis

O’Connor, M., Cloney, D., Kvalsvig, A., & Goldfeld, S. (2019) · Educational Researcher · doi:10.3102/0013189x19848724 · Cited by 93

Do Instrumental Variables Belong in Propensity Scores?

Bhattacharya, J., & Vogt, W. (2007) · doi:10.3386/t0343 · Cited by 81

How Bias Reduction Is Affected by Covariate Choice, Unreliability, and Mode of Data Analysis: Results From Two Types of Within-Study Comparisons

Cook, T. D., Steiner, P. M., & Pohl, S. (2009) · Multivariate Behavioral Research · doi:10.1080/00273170903333673 · Cited by 81

Exclusion and Urban Public High Schools: Short- and Long-Term Consequences of School Suspensions

Chu, E. M., & Ready, D. D. (2018) · American Journal of Education · doi:10.1086/698454 · Cited by 82

Initiation of vasopressor infusions via peripheral versus central access in patients with early septic shock: A retrospective cohort study

Delaney, A., Finnis, M., Bellomo, R., Udy, A., Jones, D., Keijzers, G., MacDonald, S., & Peake, S. (2020) · Emergency Medicine Australasia · doi:10.1111/1742-6723.13394 · Cited by 71

Long-term prognosis of diabetic patients with acute myocardial infarction in the era of acute revascularization

Takara, A., Ogawa, H., Endoh, Y., Mori, F., Yamaguchi, J.-I., Takagi, A., Koyanagi, R., Shiga, T., Kasanuki, H., & Hagiwara, N. (2010) · Cardiovascular Diabetology · doi:10.1186/1475-2840-9-1 · Cited by 61

Use of Health Information Exchange and Repeat Imaging Costs

Jung, H.-Y., Vest, J. R., Unruh, M. A., Kern, L. M., & Kaushal, R. (2015) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2015.09.010 · Cited by 60

Machine Learning in Policy Evaluation: New Tools for Causal Inference

Kreif, N., & DiazOrdaz, K. (2019) · Oxford Research Encyclopedia of Economics and Finance · doi:10.1093/acrefore/9780190625979.013.256 · Cited by 57

Online political efficacy and political participation: A mediation analysis based on the evidence from Taiwan

Chen, C., Bai, Y., & Wang, R. (2019) · New Media & Society · doi:10.1177/1461444819828718 · Cited by 43

A cost analysis of San Diego County's REACH program for homeless persons

Gilmer, T. P., Manning, W. G., & Ettner, S. L. (2009) · Psychiatric Services · doi:10.1176/ps.2009.60.4.445 · Cited by 54

Are There Gender Differences in Professional Self-Promotion? An Empirical Case Study of LinkedIn Profiles Among Recent MBA Graduates

Altenburger, K., De, R., Frazier, K., Avteniev, N., & Hamilton, J. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14929 · Cited by 35

Effect on Health Care Expenditures During Nationwide Implementation of the Diabetes Prevention Program as a Health Insurance Benefit

Ackermann, R. T., Kang, R., Cooper, A. J., Liss, D. T., Holmes, A. M., Moran, M., & Saha, C. (2019) · Diabetes Care · doi:10.2337/dc18-2071 · Cited by 22

Risk of Thyroid Cancer Associated with Use of Liraglutide and Other Antidiabetic Drugs in a US Commercially Insured Population

Funch, D., Mortimer, K., Ziyadeh, N. J., Seeger, J. D., Zhou, L., Ng, E., Ross, D., Major-Pedersen, A., Bosch-Traberg, H., Gydesen, H., et al. (2021) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s305496 · Cited by 24

The Treatment Effect of School Exclusion on Unemployment

Sutherland, A., & Eisner, M. (2014) · doi:10.2139/ssrn.2380956 · Cited by 7