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

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A generalization of sampling without replacement from a finite universe

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Matching As An Econometric Evaluation Estimator

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Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

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A Generalization of Sampling Without Replacement From a Finite Universe

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The Effectiveness of Right Heart Catheterization in the Initial Care of Critically III Patients

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Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data

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Subset Selection in Regression

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Matching using estimated propensity scores: relating theory to practice.

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The Value of Rapid Delivery in Online RetailingPreprint

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Predicting Savings for White and Black Young Adults: An Early Look at Racial Disparities in Savings and the Potential Role of Children’s Development Accounts (CDAs)

Friedline, T. L., & Elliott, W. (2011) · Race and Social Problems · doi:10.1007/s12552-011-9046-2 · Cited by 24

Using Propensity Stratification to Compare Patient Outcomes in Hospital-Based versus Freestanding Skilled-Nursing Facilities

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Covariate Selection in Propensity Scores Using Outcome Proxies

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Evaluating the Impact of Implementation Factors on Family-Based Prevention Programming: Methods for Strengthening Causal Inference

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Banking on "Mobile Money": The Implications of Mobile Money Services on the Value Chain

Dong, Y., Chung, M., Zhou, C., & Venkataraman, S. (2019) · Manufacturing & Service Operations Management · doi:10.1287/msom.2018.0717 · Cited by 28

Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS

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The pecuniary and non-pecuniary costs of job displacement—The risky job of being back to work

Leombruni, R., Razzolini, T., & Serti, F. (2013) · European Economic Review · doi:10.1016/j.euroecorev.2013.04.005 · Cited by 24

Can Institutions Cure Clientelism? Assessing the Impact of the Australian Ballot in BrazilPreprint

Gingerich, D. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2367695 · Cited by 24

Impact of adoption of climate smart agriculture practices on farmer's income in semi-arid regions of Karnataka

Kapoor, S., & Pal, B. D. (2024) · Agricultural Systems · doi:10.1016/j.agsy.2024.104135 · Cited by 23

Did Revisions to the WIC Program Affect Household Expenditures on Whole Grains?

Oh, M., Jensen, H. H., & Rahkovsky, I. M. (2016) · Applied Economic Perspectives and Policy · doi:10.1093/aepp/ppw020 · Cited by 23

Comparative efficacy of first-line ceritinib and crizotinib in advanced or metastatic anaplastic lymphoma kinase-positive non-small cell lung cancer: an adjusted indirect comparison with external controls

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Urban-rural achievement gap in low- and middle-income countries: The role of early childhood education

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Breakfast Skipping, Extreme Commutes, and the Sex Composition at Birth

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Results of a retrospective claims database analysis of differences in antidepressant treatment persistence associated with escitalopram and other selective serotonin reuptake inhibitors in the United States

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Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey

Mercatanti, A., & Li, F. (2014) · The Annals of Applied Statistics · doi:10.1214/14-aoas784 · Cited by 23

Modeling the 4D Study

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Comparing Inverse Probability of Treatment Weighting and Instrumental Variable Methods for the Evaluation of Adenosine Diphosphate Receptor Inhibitors After Percutaneous Coronary Intervention

Federspiel, J. J., Anstrom, K. J., Xian, Y., McCoy, L. A., Effron, M. B., Faries, D. E., Zettler, M. E., Mauri, L., Yeh, R. W., Peterson, E. D., et al. (2016) · JAMA Cardiology · doi:10.1001/jamacardio.2016.1783 · Cited by 23

Multiple child care arrangements and school readiness in kindergarten

Pilarz, A. R. (2017) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2017.09.004 · Cited by 23

Parents as interventionists: Addressing adolescent substance use

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Impact of Microfinance on Women Empowerment in the Matrilineal Tribal Society of India: An Analysis Using Propensity Score Matching and Difference-in-Difference

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Cartilage-Repair Innovation at a Standstill

Lyman, S. L., Nakamura, N., Cole, B. J., Erggelet, C., Gomoll, A. H., & Farr, J. (2016) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.15.00573 · Cited by 22

Flexible propensity score estimation strategies for clustered data in observational studies

Chang, T., Nguyen, T. Q., Lee, Y., Jackson, J. W., & Stuart, E. A. (2022) · Statistics in Medicine · doi:10.1002/sim.9551 · Cited by 22

The city-airport connection in the low-cost carrier era: Implications for urban transport planning

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Causal inference with large-scale assessments in education from a Bayesian perspective: a review and synthesis

Kaplan, D. E. (2016) · Large-scale Assessments in Education · doi:10.1186/s40536-016-0022-6 · Cited by 22

The Elephant in the Corner: A Cautionary Tale About Measurement Error in Treatment Effects ModelsPreprint

Millimet, D. L. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1667764 · Cited by 22

Impact of Prehospital Transportation on Survival in Skiers and Snowboarders with Traumatic Brain Injury

Sun, H., Samra, N. S., Kalakoti, P., Sharma, K., Patra, D. P., Dossani, R. H., Thakur, J. D., Disbrow, E. A., Phan, K. H., Veeranki, S. P., et al. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.05.108 · Cited by 21

A first look at parental work schedules and children’s well-being in contemporary China

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Does Knee Arthroscopy for Treatment of Meniscal Damage with Osteoarthritis Delay Knee Replacement Compared to Physical Therapy Alone?

Navarro, R. A., Adams, A. L., Lin, C. C., Fleming, J., García, I. A., Lee, J. S., & Black, M. H. (2020) · Clinics in Orthopedic Surgery · doi:10.4055/cios19114 · Cited by 21

The effect of a middle grades STEM initiative on students’ cognitive and non-cognitive outcomes

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Democratic governors quicker to issue stay-at-home orders in response to COVID-19

Wang, G., Devine, R. A., & Molina-Sieiro, G. (2021) · The Leadership Quarterly · doi:10.1016/j.leaqua.2021.101542 · Cited by 21

Propensity score modelling in observational studies using dimension reduction methods

Ghosh, D. (2011) · Statistics & Probability Letters · doi:10.1016/j.spl.2011.03.002 · Cited by 21

Comparative effectiveness studies to improve clinical outcomes in end stage renal disease: the DEcIDE patient outcomes in end stage renal disease study

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Evaluation of a High-Risk Case Management Pilot Program for Medicare Beneficiaries with Medigap Coverage

Hawkins, K., Parker, P. M., Hommer, C. E., Bhattarai, G. R., Huang, J., Wells, T. S., Ozminkowski, R. J., & Yeh, C. S. (2014) · Population Health Management · doi:10.1089/pop.2014.0035 · Cited by 21

A model averaging approach for estimating propensity scores by optimizing balance

Xie, Y., Zhu, Y., Cotton, C. A., & Wu, P. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280217715487 · Cited by 24

Flexible regression approach to propensity score analysis and its relationship with matching and weighting

Mao, H., & Li, L. (2020) · Statistics in Medicine · doi:10.1002/sim.8526 · Cited by 21

Strategies to Reduce Nonurgent Emergency Department Use

DEVRIES, A. R., Li, C.-H., & Oza, M. (2012) · Medical Care · doi:10.1097/mlr.0b013e3182726b83 · Cited by 21

An alternative estimate of school-based management impacts on students’ achievements: evidence from the Philippines

Yamauchi, F. (2014) · Journal of Development Effectiveness · doi:10.1080/19439342.2014.906485 · Cited by 20

Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data

Yang, J., Dahabreh, I. J., & Steingrimsson, J. A. (2021) · Biometrics · doi:10.1111/biom.13432 · Cited by 21

A Propensity Score Analysis of Prehospital Factors and Directness of Transport of Major Trauma Patients to a Level I Trauma Center

Garwe, T., Cowan, L. D., Neas, B. R., Sacra, J. C., Albrecht, R. M., & Rich, K. M. (2010) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e3181d89439 · Cited by 20

Review of Case-Mix Corrected Survival Curves

MacKenzie, T. A., Brown, J. R., Likosky, D. S., Wu, Y., & Grunkemeier, G. L. (2012) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2011.12.094 · Cited by 20

Center-Based Care in Toddlerhood and Child Cognitive Outcomes in Chile: The Moderating Role of Family Socio-Economic Status

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Scoring a Touchdown with Variable Pricing: Evidence from a Quasi-Experiment in the NFL Ticket Markets

Arslan, H. A., Tereyağoğlu, N., & Yılmaz, Ö. (2022) · Management Science · doi:10.1287/mnsc.2022.4588 · Cited by 18

Child health and parental paid work

Burton, P., Chen, K. S., Lethbridge, L. N., & Phipps, S. (2014) · Review of Economics of the Household · doi:10.1007/s11150-014-9251-z · Cited by 20

Evaluating the impact of NCLB school interventions in New York State: Does one size fit all?

Lee, J., Shin, H., & Amo, L. (2013) · Education Policy Analysis Archives · doi:10.14507/epaa.v21n67.2013 · Cited by 19

Orally Active Vitamin D for Potential Chemoprevention of Posttransplant Malignancy

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Estimating long-term pollution exposure effects through inverse probability weighting methods with Cox proportional hazards models

Higbee, J. D., Lefler, J. S., Burnett, R. T., Ezzati, M., Marshall, J. D., Kim, S., Bechle, M. J., Robinson, A. L., & Pope, C. A. (2020) · Environmental Epidemiology · doi:10.1097/ee9.0000000000000085 · Cited by 20

COVID-19 risk perceptions and depressive symptoms in South Africa: Causal evidence in a longitudinal and nationally representative sample

Oyenubi, A., Kim, A. W., & Kollamparambil, U. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.072 · Cited by 20

Frameworks for estimating causal effects in observational settings: comparing confounder adjustment and instrumental variables

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Marital Status, Spousal Characteristics, and the Use of Preventive Care

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Strengthening the Social Information–Processing Skills of Children

Wu, F., Fräser, M. W., Guo, S., Day, S. H., & Galinsky, M. J. (2014) · Research on Social Work Practice · doi:10.1177/1049731514556995 · Cited by 19

Recent development of propensity score methods in observational studies: Multi-categorical treatment, causal mediation, and heterogeneity

Hu, A., & Mustillo, S. (2015) · Current Sociology · doi:10.1177/0011392115589599 · Cited by 20

Using Propensity Score Methods To Assess Causal Effects of Mothers' Dieting Behavior on Daughters' Early Dieting Behavior

Coffman, D. L., Balantekin, K. N., & Savage, J. S. (2016) · Childhood Obesity · doi:10.1089/chi.2015.0249 · Cited by 21

Productivity effects and natural resource management: econometric evidence from POSAF‐II in Nicaragua

Santos‐Montero, L. A. D. L., & Bravo‐Ureta, B. E. (2017) · Natural Resources Forum · doi:10.1111/1477-8947.12133 · Cited by 19

Cost-effectiveness of ceritinib in previously untreated anaplastic lymphoma kinase-positive metastatic non-small cell lung cancer in the United States

Zhou, Z., Mutebi, A., Han, S., Bensimon, A. G., Ricculli, M. L., Xie, J., Dalal, A. A., & Culver, K. (2018) · Journal of Medical Economics · doi:10.1080/13696998.2018.1443111 · Cited by 20

Health determinants among refugees in Austria and Germany: A propensity-matched comparative study for Syrian, Afghan, and Iraqi refugees

Georges, D., Buber‐Ennser, I., Rengs, B., Kohlenberger, J., & Doblhammer, G. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250821 · Cited by 18

Selective machine learning of doubly robust functionals

Cui, Y., & Tchetgen, E. J. T. (2023) · Biometrika · doi:10.1093/biomet/asad055 · Cited by 19

A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism

Qin, X., & Hong, G. (2017) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998617694879 · Cited by 19

Model-Averaged Confounder Adjustment for Estimating Multivariate Exposure Effects with Linear Regression

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Linking smallholders to the new agricultural economy: an evaluation of the Plataformas program in Ecuador.Preprint

Cavatassi, R., González, M. L., Winters, P., Andrade-Piedra, J. L., Thiele, G., & Espinosa, P. (2009) · RePEc: Research Papers in Economics · Cited by 19

Addressing Self-selection and Endogeneity in Higher Education Research

Liu, X., & Borden, V. M. H. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/s2056-375220190000005009 · Cited by 18

Too unwell to trust? The effect of mental health on social trust in Europe

Roychowdhury, P. (2021) · Economics & Human Biology · doi:10.1016/j.ehb.2021.101021 · Cited by 18

The impact of benefits coverage expansion of social health insurance: Evidence from Korea

Lee, H. M., & Ko, H. (2022) · Health Policy · doi:10.1016/j.healthpol.2022.06.009 · Cited by 18

Remittances, crowd-in effect, and household welfare

Nanziri, L. E., & Mwale, M. L. (2022) · Scientific African · doi:10.1016/j.sciaf.2022.e01521 · Cited by 18

Healthy foods, healthy sales? Cross-category effects of a loyalty program promoting sales of fruit and vegetables

Panzone, L., Tocco, B., Brečić, R., & Gorton, M. (2024) · Journal of Retailing · doi:10.1016/j.jretai.2023.12.002 · Cited by 18

Fractures in women treated with raloxifene or alendronate: a retrospective database analysis

Foster, S. A., Shi, N., Curkendall, S. M., Stock, J. L., Chu, B. C., Burge, R. T., Diakun, D., & Krege, J. H. (2013) · BMC Women s Health · doi:10.1186/1472-6874-13-15 · Cited by 18

Comparing Medical and Dental Providers of Oral Health Services on Early Dental Caries Experience

Kranz, A. M., Rozier, R. G., Preisser, J. S., Stearns, S. C., Weinberger, M., & Lee, J. Y. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.301972 · Cited by 17

The Effect of Having Aggressive Friends on Aggressive Behavior in Childhood: Using Propensity Scores to Strengthen Causal Inference

Henneberger, A. K., Coffman, D. L., & Gest, S. D. (2016) · Social Development · doi:10.1111/sode.12186 · Cited by 15

Comparison of Adalimumab and Etanercept for the Treatment of Moderate to Severe Psoriasis: An Indirect Comparison Using Individual Patient Data from Randomized Trials

Papp, K. A., Yang, M. H., Sundaram, M., Jarvis, J. L., Betts, K. A., Bao, Y., & Signorovitch, J. (2017) · Value in Health · doi:10.1016/j.jval.2017.05.025 · Cited by 18

Covariate distribution balance via propensity scores

Sant’Anna, P. H. C., Song, X., & Xu, Q. L. (2022) · Journal of Applied Econometrics · doi:10.1002/jae.2909 · Cited by 22

Boosted Kernel Weighting – Using Statistical Learning to Improve Inference from Nonprobability Samples

Kern, C. A., Li, Y., & Wang, L. (2020) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smaa028 · Cited by 18

Confronting “confounding by health system use” in Medicare Part D: comparative effectiveness of propensity score approaches to confounding adjustment

Polinski, J. M., Schneeweiß, S., Glynn, R. J., Lii, J., & Rassen, J. A. (2012) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.3250 · Cited by 18

Do Tax-Time Savings Deposits Reduce Hardship Among Low-Income Filers? A Propensity Score Analysis

Grinstein‐Weiss, M., Despard, M., Guo, S., Russell, B. D., Key, C. C., & Raghavan, R. (2016) · Journal of the Society for Social Work and Research · doi:10.1086/689357 · Cited by 18

Descriptive Representation and Judicial Outcomes in Multi-Ethnic SocietiesPreprint

Grossman, G., Gazal‐Ayal, O., Pimentel, S., & Weinstein, J. M. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2437859 · Cited by 18

Microfinance and Moneylenders: Long-Run Effects of MFIs on Informal Credit Market in Bangladesh

Berg, C. N., Emran, M. S., & Shilpi, F. J. (2013) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-6619 · Cited by 18

Labour market participation after breast cancer for employees from the private and public sectors: Educational and sector gradients in the effect of cancer

Kolodziejczyk, C., & Heinesen, E. (2015) · Economics & Human Biology · doi:10.1016/j.ehb.2015.12.002 · Cited by 17

Causal Mediation Analysis in the Presence of Post-treatment Confounding Variables: A Monte Carlo Simulation Study

Kisbu‐Sakarya, Y., MacKinnon, D. P., Valente, M. J., & Çetinkaya, E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02067 · Cited by 19

Can Agricultural Extension and Input Support Be Discontinued? Evidence from a Randomized Phaseout in Uganda

Fishman, R., Smith, S. C., Bobić, V., & Sulaiman, M. (2021) · The Review of Economics and Statistics · doi:10.1162/rest_a_01029 · Cited by 19

Improving social functioning in people with schizophrenia-spectrum disorders via mobile experimental interventions: Results from the CLIMB pilot trial.

Dabit, S., Quraishi, S. H., Jordan, J. T., & Biagianti, B. (2021) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2021.100211 · Cited by 20

Early learning opportunities of preschool children affected by migration in China

Gong, J., & Rao, N. (2022) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2022.12.010 · Cited by 18

Maternal outcomes of placental abruption with intrauterine fetal death and delivery routes: A nationwide observational study

Wada, Y., Takahashi, H., Sasabuchi, Y., Usui, R., Ogoyama, M., Suzuki, H., Ohkuchi, A., & Fujiwara, H. (2023) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.14569 · Cited by 17

Impact of adoption of better management practices and nutrition-sensitive training on the productivity, livelihoods and food security of small-scale aquaculture producers in Myanmar

Dompreh, E. B., Rossignoli, C., Griffiths, D., Wang, Q., Htoo, K. K., Nway, H. M., Akester, M. J., & Gasparatos, A. (2023) · Food Security · doi:10.1007/s12571-023-01415-y · Cited by 17

Reassessing the Effects of Bilateral Tax Treaties on US FDI Activity

Kumas, A., & Millimet, D. L. (2017) · Journal of Economics and Finance · doi:10.1007/s12197-017-9400-3 · Cited by 17

Relationship between early‐life nutrition and ages at menarche and first pregnancy, and childbirth rates of young adults: Evidence from APCAPS in India

Nandi, A., Behrman, J. R., Black, M. M., Kinra, S., & Laxminarayan, R. (2019) · Maternal and Child Nutrition · doi:10.1111/mcn.12854 · Cited by 16

Doubly robust estimation of the weighted average treatment effect for a target population

Tao, Y., & Fu, H. (2018) · Statistics in Medicine · doi:10.1002/sim.7980 · Cited by 17

Does pressing a button make it easier to pass an exam? Evaluating the effectiveness of interactive technologies in higher education

Castillo-Manzano, J. I., Castro‐Nuño, M., Díaz, M. T. S., & Ovando, R. Y. (2015) · British Journal of Educational Technology · doi:10.1111/bjet.12258 · Cited by 17

Extending iterative matching methods: an approach to improving covariate balance that allows prioritisation

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Effects of family planning and health services on women’s welfare: evidence on dowries and intra-household bargaining in Bangladesh

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Estimating Subgroup Effects Using the Propensity Score Method

Eeren, H. V., Spreeuwenberg, M. D., Bartak, A., de Rooij, M., & Busschbach, J. J. V. (2015) · Medical Care · doi:10.1097/mlr.0000000000000325 · Cited by 17

Credit Default Swaps Around the World: Investment and Financing EffectsPreprint

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HPV vaccine status and sexual behavior among young sexually-active women in the US: evidence from the National Health and Nutrition Examination Survey, 2007–2014

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Model misspecification and bias for inverse probability weighting estimators of average causal effects

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A Comprehensive Review and Tutorial on Confounding Adjustment Methods for Estimating Treatment Effects Using Observational Data

Shi, A. X., Zivich, P., & Chu, H. (2024) · Applied Sciences · doi:10.3390/app14093662 · Cited by 13

Semiparametrically efficient estimation of the average linear regression function

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Differences in Proxy-Reported and Self-Reported Disability in the Demographic and Health Surveys

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Childhood migration and work motivation in Adulthood: Evidence from China

Chen, L., Guo, W., & Liu, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.029 · Cited by 16

Does Private Tutoring Payoff?Preprint

Gurun, A., & Millimet, D. L. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1230824 · Cited by 16

Semiparametric Proximal Causal InferencePreprint

Cui, Y., Pu, H., Shi, X., Miao, W., & Tchetgen, E. T. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.08411 · Cited by 16

Impacts of transient and permanent environmental shocks on internal migration

Pavel, T., Hasan, S. A., Halim, N., & Mozumder, P. (2018) · Applied Economics · doi:10.1080/00036846.2022.2087859 · Cited by 21

Laxative use and mortality in patients on haemodialysis: a prospective cohort study

Honda, Y., Itano, S., Kugimiya, A., Kubo, E., Yamada, Y., Kimachi, M., Shibagaki, Y., & Ikenoue, T. (2021) · BMC Nephrology · doi:10.1186/s12882-021-02572-y · Cited by 15

Estimation of Causal Effects Using Propensity Score Weighting: An Application to Data

Imbens, G. W. (2001)

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

Lunceford, J. K., & Davidian, M. (2004) · Statistics in Medicine · doi:10.1002/sim.1903 · Cited by 1,676

Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity ScorePreprint

Ning, Y., Peng, S., & Imai, K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.08683 · Cited by 16

A Distributional Approach for Causal Inference Using Propensity Scores

Tan, Z. (2006) · Journal of the American Statistical Association · doi:10.1198/016214506000000023 · Cited by 232

Utilizing Propensity Scores to Estimate Causal Treatment Effects with Censored Time-Lagged Data

Anstrom, K. J., & Tsiatis, A. A. (2001) · Biometrics · doi:10.1111/j.0006-341x.2001.01207.x · Cited by 54