The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies

Using Propensity Score Matching Methods to Improve Generalization from Randomized Experiments.

Tipton, E. (2011) · Society for Research on Educational Effectiveness

Using Propensity Scores

Smith, R. B. (2010) · Springer eBooks · doi:10.1007/978-90-481-9855-9_12

Faculty Opinions recommendation of Effects of adjusting for instrumental variables on bias and precision of effect estimates.

Kenward, M., & Daniel, R. (2011) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.13398961.14768062

Statistical Introduction

Cochran, W. G. (1983) · Wiley series in probability and statistics · doi:10.1002/9780470316542.ch2

Matching

Cochran, W. G. (1983) · Wiley series in probability and statistics · doi:10.1002/9780470316542.ch5

Confounding

(2008) · Springer eBooks · doi:10.1007/978-1-4020-9523-8_19

References

Rubin, D. B. (1987) · Wiley series in probability and statistics · doi:10.1002/9780470316696.refs

Bibliography

Weisberg, H. I. (2010) · Wiley series in probability and statistics · doi:10.1002/9780470631102.biblio

Bibliography

Agresti, A. (2010) · Wiley series in probability and statistics · doi:10.1002/9780470594001.biblio

References

Bethlehem, J. G. (2009) · doi:10.1002/9780470494998.refs

Faculty Opinions recommendation of Matching methods for causal inference: A review and a look forward.

Shintani, A., & Eden, S. (2012) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.13972971.15429075

Marginal Odds Ratio Estimators

Drake, C. (2022) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat08174

Importance of responsible interpretation of observational studies with an impact on public health policyPreprint

Kanankege, K. S. T., Traynor, I., & Perez, A. M. (2022) · Research Square · doi:10.21203/rs.3.rs-1431992/v1

Analysis of Medical Claims Data

Gibbons, R. D. (2016) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat07898

References

Pesarin, F., & Salmaso, L. (2010) · Wiley series in probability and statistics · doi:10.1002/9780470689516.refs

References

(1995) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/62.3.702s

Confounding

Cleophas, T. J., & Zwinderman, A. H. (2011) · Springer eBooks · doi:10.1007/978-94-007-2863-9_28

Introduction

Drukker, D. M. (2011) · Advances in econometrics · doi:10.1108/s0731-9053(2011)000027a003

Fallacies, Statistical

Agresti, A. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat01527

Use of Response Propensities

Biffignandi, S., & Bethlehem, J. G. (2021) · doi:10.1002/9781119371717.ch13

Using Correlation to Detect Statistical Relationships

Severini, T. A. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b17259-9

Propensity Scores

Mellenbergh, G. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-12272-0_5

Three Essays in Healthcare Economics and Policy Analysis

Pham, T. (2022) · doi:10.33915/etd.11359

Iterative proportional fitting as a balancing method in observational studies

Pickreign, J. D. (2023) · Health Services and Outcomes Research Methodology · doi:10.1007/s10742-023-00304-3

The Dynamic Patterns Of Thinking In Attention-Deficit/Hyperactivity Disorder (ADHD): Diagnostic Accuracy Of Euclidean, Multifractal And Lacunarity Measures

Labra-Spröhnle, F. (2018) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.22767164

Signaling and Quality Upgrading: Evidence from E-Commerce Certification in ChinaPreprint

Gao, K., & Yu, M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4531272

Correcting Sampling and Nonresponse Biases in Phone Survey Poverty Estimation Using Reweighting and Poverty Projection ModelsPreprint

Zhang, K., Takamatsu, S., & Yoshida, N. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4776536

Contrast-specific propensity scores for causal inference with multiple interventions

Han, S., Goh, J., Meng, F., Leow, M. K., & Rubin, D. B. (2024) · Statistical Methods in Medical Research · doi:10.1177/09622802241236952

Are teachers meeting students’ needs in untracked science classrooms? Evidence based on a causal inferential approach

Ho, E., SELTZER, M. H., & Jeon, M. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300587

Association of Allergy Specialty Care and Asthma Outcomes for Medicaid-Enrolled Children

Boyd, M., Eyimina, A., Brown, C. C., Goudie, A., Ararat, E., Rezaeiahari, M., Perry, T. T., Tilford, J. M., & Jefferson, A. A. (2024) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2024.114361

Methionine synthetase A2756G and Cystathionine-β-synthase 844ins68 polymorphisms and coronary artery disease: A meta-analysis

Li, Y., Wang, H., & Zhang, Y.-Y. (2024) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2024.11.011

Empirical evidence of the impact of farmer-grazer conflicts on milk yield in Cameroon

Nchinda, V. P., Shidiki, A. A., Umoren, E. P., Ijang, T. P., Temoso, O., Azeh, M., Forpah, N., & Ndambi, A. (2025) · NJAS Impact in Agricultural and Life Sciences · doi:10.1080/27685241.2024.2447230

Common issues in analysis

Liu, Y., & Xie, R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-821426-8.00079-0

The impact of criteria-referenced formative assessment on fifth grade students' theater arts and English language arts achievement

Chen, F. (2015) · Scholars Archive - University at Albany (University at Albany, State University of New York) · doi:10.54014/nmhq-kgb7

NPC Tests for Survival Analysis

Salmaso, L., & Pesarin, F. (2020) · Wiley series in probability and statistics · doi:10.1002/9781119438199.ch9

Bibliography

Salmaso, L., & Pesarin, F. (2020) · Wiley series in probability and statistics · doi:10.1002/9781119438199.ref

A Hybrid Design Incorporating External Data to Evaluate Dexamethasone Intracameral Drug Delivery Suspension for Post‐Cataract Surgery Inflammation

Zhao, Y., Chen, K., Zhou, J., Zhao, J., Zhang, D., Wan, J., Yuan, W.-H., Chen, X., Tan, M. T., Cui, F., et al. (2025) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.70010

Improving children’s use of care in Oregon

Mertz, E., Liang, S., Schwarz, E., Brandon, R. G., Kottek, A. M., Cheng, J., Gansky, S. A., Skourtes, N., Sinnott, M., Jenson, L. E., et al. (2025) · The Journal of the American Dental Association · doi:10.1016/j.adaj.2025.07.005

Weight Loss and Food Spending

Bina, J. D., & Paudel, U. (2025) · Agricultural Economics · doi:10.1111/agec.70072

Evaluation of the impact of an online introductory paediatric physical examination skills course on students’ OSCE performance

George, A., Blaauw, D., Dangor, Z., & Lala, S. G. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08177-5

Effectiveness of Propensity Score Methods in a Multilevel Framework: A Monte Carlo Study

Bellara, A. P. (2013) · Digital Commons - University of South Florida (University of South Florida)

Generalized coarsened confounding for causal effects: a large-sample framework

Ghosh, D., & Wang, L. (2026) · Journal of Causal Inference · doi:10.1515/jci-2025-0002

Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting

Wallin, G., & Wiberg, M. (2026) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986251397558

A hybrid prior Bayesian method for combining domestic real-world data and overseas data in global drug development

Chen, K., Zheng, Z., Zhu, P., Jiang, S., Li, N., Deng, J., Chen, P., Wu, Z., & Wu, Y. (2026) · Statistical Methods in Medical Research · doi:10.1177/09622802251414586

Evaluation of the economic impact of geographical indications : three case studies

Diallo, A. B. (2017) · doi:10.70675/460c41a4zff0cz444fzb0bbzc072339057f0

Estimation d’effets individuels de traitements pris en combinaison dans les études observationnelles

Lusivika‐Nzinga, C. (2019) · theses.fr (ABES) · doi:10.70675/bbd5d6e7z8cc6z4923za528z0142c172778a

Contrôle des facteurs confondants pour étudier les résultats chirurgicaux à partir des bases hospitalières nationales

Payet, C. (2020) · theses.fr (ABES) · doi:10.70675/7175ecdcz36ecz495ezb2c4zff9cd5940a1f

Causal Inference from Heterogeneous Data with Missing Data : Application to Critical Care Management

Mayer, I. (2021) · theses.fr (ABES) · doi:10.70675/2f432d6cz11f8z4d0bza530zbc10fbe668bc

Generalizing a causal effect from a trial to a target population : methodological and theoretical contributions

Colnet, B. (2023) · theses.fr (ABES) · doi:10.70675/11bb1cf9za376z4336z8998z647534b40e3e

Changes of representation for counter-factual inference

Lacombe, A. (2024) · theses.fr (ABES) · doi:10.70675/c86021eezffa8z488dz895ez86920c13b797

How to collect unpaid taxes? A system of a non‐discriminatory sentence in Taiwan

Wen, F., Tung, C. Y., Wang, C., & Yang, S. (2026) · Contemporary Economic Policy · doi:10.1111/coep.70040

Burden of Mortality and Morbidity Caused by Snakebites Contributes to Economic Loss in a Rural Population in India

Kiran, S., Srinivas, S., & Vasudevan, K. (2026) · Toxins · doi:10.3390/toxins18060250

Propensity score matching for surgical outcomes with observational data

Cannon, R. (2012) · doi:10.18297/etd/203

EduGPT: A unified LLM-based automated framework bridging pedagogy and parameters for assignment design and personalized teaching assistant fine-tuning

Liu, L., Yao, S., Liu, Y. P., Wang, Y., Xia, H., & Tang, X. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.105027

A propensity score-integrated win ratio method for placebo borrowing

Chen, Y., Sonksen, M., Wang, T., Feng, Y., & Song, J. J. (2026) · Statistical Methods in Medical Research · doi:10.1177/09622802261478737

Additional Topics

Kundu, M. G. (2026) · Springer eBooks · doi:10.1007/978-981-95-9518-1_12

Актуальные проблемы межъязыкового взаимодействия

Павловна, Д. Л. (2011) · CyberLeninK (CyberLeninka)

Statistics

Gibbons, R. D. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139519502.011

Contexts and Covariates

Smith, R. B. (2010) · Springer eBooks · doi:10.1007/978-90-481-9855-9_6

Adoption and economic impact of water conservation and intensification methods on input demand, output supply, and net returns in lowland rice production of northern Ghana

Faltermeier, A. L. L. (2010) · MACAU: Open Access Repository of Kiel University (University Library Kiel)

Untitled work

D’Agostino (1998) · doi:10.1002/(sici)1097-0258(19981015)17:19

The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies

Rubin, D. B. (1973) · Biometrics · doi:10.2307/2529685 · Cited by 455

Matching to remove bias in observational studies

Rubin, D. B. (1973) · Biometrics · doi:10.2307/2529684 · Cited by 737

Exposure Misclassification in Observational Studies: We Can Do Better

Kiri, V. A. (2014) · Biometrics & Biostatistics International Journal · doi:10.15406/bbij.2014.01.00003

Using multivariate matched sampling and regression adjustment to control bias in observational studies

Rubin, D. B. (1979) · Journal of the American Statistical Association · doi:10.2307/2286330 · Cited by 341

Using Restriction to Minimize Bias in Observational Studies—Reply

Psaty, B. M., & Siscovick, D. S. (2010) · JAMA · doi:10.1001/jama.2010.1728