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

CDKAL1 gene rs7756992 A/G polymorphism and type 2 diabetes mellitus: a meta-analysis of 62,567 subjects

Li, Y., Wang, L., Lu, X.-Z., Yang, Z., Wang, X., Zhou, C., Xu, J., Qian, Y., & Chen, A. (2013) · Scientific Reports · doi:10.1038/srep03131 · Cited by 24

A mixed‐effects quintile‐stratified propensity adjustment for effectiveness analyses of ordered categorical doses

Leon, A. C., & Hedeker, D. (2005) · Statistics in Medicine · doi:10.1002/sim.2042 · Cited by 24

The Consequences of Fatherhood Transition Among Disadvantaged Male Offenders: Does Timing Matter?

Na, C. (2016) · Journal of Developmental and Life-Course Criminology · doi:10.1007/s40865-015-0022-1 · Cited by 24

Impact of Participating in a Policy Debate Program on Academic Achievement: Evidence from the Chicago Urban Debate League.

Mezuk, B. R., Bondarenko, I., Smith, S., & Tucker, E. (2011) · Educational Research Review · doi:10.5897/err.9000192 · Cited by 24

The effectiveness of service work: An analysis of recidivism

Nirel, R., Landau, S. F., Sebba, L., & Sagiv, B. (1997) · Journal of Quantitative Criminology · doi:10.1007/bf02362173 · Cited by 24

Criminal Justice Interventions for Offenders With Mental Illness: Evaluation of Mental Health Courts in Bronx and Brooklyn, New York

Rossman, S. B., Willison, J. B., Mallik‐Kane, K., Kim, K., Debus-Sherrill, S., & Downey, P. M. (2012) · PsycEXTRA Dataset · doi:10.1037/e526732013-001 · Cited by 24

Bias reduction in effectiveness analyses of longitudinal ordinal doses with a mixed‐effects propensity adjustment

Leon, A. C., Hedeker, D., & Teres, J. J. (2005) · Statistics in Medicine · doi:10.1002/sim.2458 · Cited by 23

Clinical and Economic Evaluation of Treatment Strategies for T1N0 Anal Canal Cancer

Deshmukh, A. A., Zhao, H., Das, P., Chiao, E. Y., You, Y. N., Franzini, L., Lairson, D. R., Swartz, M. D., Giordano, S. H., & Cantor, S. B. (2016) · American Journal of Clinical Oncology · doi:10.1097/coc.0000000000000339 · Cited by 23

How often does random assignment fail? Estimates and recommendations

Goldberg, M. H. (2019) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2019.101351 · Cited by 23

Relative effectiveness of high dose versus standard dose influenza vaccines in older adult outpatients over four seasons, 2015–16 to 2018–19

Balasubramani, G. K., Choi, W. S., Nowalk, M. P., Zimmerman, R. K., Monto, A. S., Martin, E. T., Belongia, E. A., McLean, H. Q., Gaglani, M., Murthy, K., et al. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.08.011 · Cited by 23

The unintended and intended academic consequences of educational reforms: the cases of Post-Soviet Estonia, Latvia and Russia

Khavenson, T., & Carnoy, M. (2016) · Oxford Review of Education · doi:10.1080/03054985.2016.1157063 · Cited by 23

Distance functions for matching in small samples

Dettmann, E., Becker, C., & Schmeißer, C. (2010) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2010.11.022 · Cited by 22

On the Formation of Weighting Adjustment Cells for Unit Nonresponse

Vartivarian, S., & Little, R. J. A. (2003) · Collection of Biostatistics Research Archive · Cited by 23

Empirical Comparison of Approaches to Forming Strata

Bloch, D. A., & Segal, M. R. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478853 · Cited by 23

Network performance: Does it really matter to users and by how much?

Sitaraman, R. K. (2013) · doi:10.1109/comsnets.2013.6465563 · Cited by 22

Association between ADIPOQ +45T>G Polymorphism and Type 2 Diabetes: A Systematic Review and Meta-Analysis

Fan, Y., Wang, K., Xu, S., Chen, G., Di, H., Cao, M., & Liu, C. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms16010704 · Cited by 23

Differences in School Performance Between Only Children and Non-only Children: Evidence From China

Jia, C., Yang, Z., Xin, T., Li, Y., Wang, Y., & Yang, T. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.608704 · Cited by 24

Predictors of the Use of Physical Therapy Services Among Patients With Rheumatoid Arthritis

Iversen, M. D., Chhabriya, R. K., & Shadick, N. A. (2010) · Physical Therapy · doi:10.2522/ptj.20090179 · Cited by 22

Propensity scores-potential outcomes framework to incorporate severity probabilities in the Highway Safety Manual crash prediction algorithm

Sasidharan, L., & Donnell, E. T. (2014) · Accident Analysis & Prevention · doi:10.1016/j.aap.2014.05.017 · Cited by 22

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

Causal inference in randomized clinical trials

Zheng, C., Dai, R., Gale, R., & Zhang, M.-J. (2019) · Bone Marrow Transplantation · doi:10.1038/s41409-018-0424-x · Cited by 24

Testing treatment effects in unconfounded studies under model misspecification: Logistic regression, discretization, and their combination

Cangul, M. Z., Chretien, Y. R., Gutman, R., & Rubin, D. B. (2009) · Statistics in Medicine · doi:10.1002/sim.3633 · Cited by 22

Left Ventricular Assessment in Myocardial Infarction

Hernandez, A. F., Velazquez, E. J., Solomon, S. D., Kilaru, R., Díaz, R., O’Connor, C. M., Ertl, G., Maggioni, A. P., Rouleau, J. L., van Gilst, W. H., et al. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.18.2162 · Cited by 22

Asymptotic expansions for some semiparametric program evaluation estimators

Linton, O., & Ichimura, H. (2001) · Cemmap working papers · doi:10.1920/wp.cem.2001.0401 · Cited by 24

Improving web survey quality

Steinmetz, S., Bianchi, A., Tijdens, K. G., & Biffignandi, S. (2014) · Wiley eBooks · doi:10.1002/9781118763520.ch12 · Cited by 25

Prevalence of Motile Aeromonas Septicaemia (MAS) in fish culture systems of the Central Brahmaputra Valley Zone of Assam, India

Saharia, P. K., Hussain, I. A., Pokhrel, H., Kalita, B., Borah, G., & Yasmin, R. (2020) · Aquaculture Research · doi:10.1111/are.14979 · Cited by 21

Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates

Cattaneo, M. D., & Farrell, M. H. (2011) · Advances in econometrics · doi:10.1108/s0731-9053(2011)000027a007 · Cited by 21

A comparison of approaches for stratifying on the propensity score to reduce bias

Linden, A. (2017) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12701 · Cited by 21

ADRB3 Gene Trp64Arg Polymorphism and Essential Hypertension: A Meta-Analysis Including 9,555 Subjects

Li, Y., Lu, X.-Z., Wang, H. J., Zhou, Y., Yang, X., Geng, H., Gong, G., & Kim, H. J. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00106 · Cited by 20

KCNQ 1 rs2237892 C→T gene polymorphism and type 2 diabetes mellitus in the Asian population: a meta‐analysis of 15,736 patients

Li, Y., Wang, X., & Lu, X.-Z. (2013) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.12185 · Cited by 21

PSAgraphics: AnRPackage to Support Propensity Score Analysis

Helmreich, J. E., & Pruzek, R. M. (2009) · Journal of Statistical Software · doi:10.18637/jss.v029.i06 · Cited by 21

The rs5743708 gene polymorphism in the TLR2 gene contributes to the risk of tuberculosis disease.

Guo, X., & Xia, Y. (2015) · PubMed Central · Cited by 21

Misuse of analysis of covariance in aging research and some partial solutions

Storandt, M., & Hudson, W. (1975) · Experimental Aging Research · doi:10.1080/03610737508257953 · Cited by 21

Incomparability of treatment groups is often blindly ignored in randomised controlled trials – a post hoc analysis of baseline characteristic tables

Nguyen, T., & Xie, L. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.10.012 · Cited by 21

PCSK9 Gene E670G Polymorphism and Coronary Artery Disease: An Updated Meta-Analysis of 5,484 Subjects

Li, Y., Wang, H., Yang, X., Geng, H., Gong, G., & Lu, X.-Z. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.582865 · Cited by 20

Safety Impacts of Design Exceptions on Nonfreeway Segments

Wood, J., & Porter, R. J. (2013) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2358-04 · Cited by 20

Lack of Association of ACE2 G8790A Gene Mutation with Essential Hypertension in the Chinese Population: A Meta-Analysis Involving 5260 Subjects

Li, Y. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00364 · Cited by 20

Impact of a comprehensive pharmacist medication-therapy management service

Shaya, F. T., Chirikov, V., Rochester, C. D., Zaghab, R. W., & Kucharski, K. (2015) · Journal of Medical Economics · doi:10.3111/13696998.2015.1052463 · Cited by 20

Young Climate Protesters’ Mobilization Availability: Climate Marches and School Strikes Compared

Rainsford, E., & Saunders, C. (2021) · Frontiers in Political Science · doi:10.3389/fpos.2021.713340 · Cited by 19

The Clinical Validation of Modulated Electro-Hyperthermia (mEHT)

Lee, S., Lóránt, G., Grand, L., & Szász, A. M. (2023) · Cancers · doi:10.3390/cancers15184569 · Cited by 19

Subsidized Housing, Public Housing, and Adolescent Violence and Substance Use

Leech, T. G. J. (2010) · Youth & Society · doi:10.1177/0044118x10388821 · Cited by 19

Estrogen receptor α gene PvuII polymorphism and coronary artery disease: a meta-analysis of 21 studies

Ding, J., Xu, H., Yin, X., Zhang, F., Pan, X., Gu, Y., Chen, J.-Z., & Guo, X. (2014) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b1300220 · 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

ATP-binding cassette transporter A1 R219K polymorphism and coronary artery disease in Chinese population: a meta-analysis of 5,388 participants

Li, Y., Zhang, H., Qin, X.-Y., Lu, X.-Z., Yang, B. Y., & Chen, M. (2012) · Molecular Biology Reports · doi:10.1007/s11033-012-2006-0 · Cited by 19

On the consequences of overstratification

Stavola, B. L. D., & Cox, D. R. (2008) · Biometrika · doi:10.1093/biomet/asn039 · Cited by 19

How accurate are self-selection web surveys?

Bethlehem, J. G. (2008) · UvA-DARE (University of Amsterdam) · Cited by 19

Implications of Albumin Leakage for Survival in Maintenance Hemodialysis Patients: A 7‐year Observational Study

Nagai, K., Tsuchida, K., Ishihara, N., Minagawa, N., Ichien, G., Yamada, S., Hirose, D., Michiwaki, H., Kanayama, H., Doi, T., et al. (2017) · Therapeutic Apheresis and Dialysis · doi:10.1111/1744-9987.12526 · Cited by 18

Cost-Effectiveness of Novel Agents in Medicare Patients with Multiple Myeloma: Findings from a U.S. Payer’s Perspective

Chen, Y., Lairson, D. R., Chan, W., Huo, J. S., & Du, X. L. (2017) · Journal of Managed Care & Specialty Pharmacy · doi:10.18553/jmcp.2017.23.8.831 · Cited by 18

Estimation of causal effects of binary treatments in unconfounded studies with one continuous covariate

Gutman, R., & Rubin, D. B. (2015) · Statistical Methods in Medical Research · doi:10.1177/0962280215570722 · Cited by 19

Bradykinin β2 Receptor −58T/C Gene Polymorphism and Essential Hypertension: A Meta-Analysis

Li, Y., Zhang, H., Xu, J., Qian, Y., Lu, X.-Z., Yang, B. Y., Chen, M., Yang, Z., & Cao, K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043068 · Cited by 18

Handling Nonresponse in Surveys: Analytic Corrections Compared with Converting Nonresponders

Jenkins, P., Earle‐Richardson, G. B., Burdick, P., & May, J. J. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm297 · Cited by 18

Prospective Cohort Studies of Newly Marketed Medications

Franklin, J. M., Rassen, J. A., Bartels, D. B., & Schneeweiß, S. (2013) · Epidemiology · doi:10.1097/ede.0000000000000020 · Cited by 18

The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis

Mutz, R., Wolbring, T., & Daniel, H. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23701 · Cited by 22

A comparative study of doubly robust estimators of the mean with missing data

Zhang, G., & Little, R. J. A. (2011) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2010.516750 · Cited by 18

%CEM: a SAS macro to perform coarsened exact matching

Berta, P., Bossi, M., & Verzillo, S. (2016) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2016.1203433 · Cited by 18

Matching using semiparametric propensity scores

Lehrer, S., & Kordas, G. (2012) · Empirical Economics · doi:10.1007/s00181-012-0591-3 · Cited by 19

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration

Vandenbroucke, J. P., von Elm, E. B., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S., Poole, C., Schlesselman, J. J., & Egger, M. (2022) · Вопросы современной педиатрии · doi:10.15690/vsp.v21i3.2426 · Cited by 19

A new approach to assess the normalization of differential rates of protest participation

Saunders, C., & Shlomo, N. (2020) · Quality & Quantity · doi:10.1007/s11135-020-00995-7 · Cited by 17

Intercellular Adhesion Molecule‐1 E469K Gene Polymorphism and Coronary Artery Disease in the Chinese Population: A Meta‐Analysis Involving 3065 Subjects

Li, Y. (2011) · Clinical Cardiology · doi:10.1002/clc.20972 · Cited by 17

Substance use and behaviour disorders in Puerto Rican youth: a migrant family study

Merikangas, K. R., Conway, K. P., Swendsen, J. D., Febo, V., Dierker, L., Brunetto, W. L., Stolar, M. J., & CANINO, G. J. (2009) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2008.078048 · Cited by 17

The generalized propensity score methodology for estimating unbiased journal impact factors

Mutz, R., & Daniel, H. (2012) · Scientometrics · doi:10.1007/s11192-012-0670-4 · Cited by 17

Hospital Ownership Type and Innovation: The Case of Electronic Medical Records Adoption

Freedman, S. M., & Lin, H. (2018) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/0899764018757025 · Cited by 23

What Properties Might Statistical Inferences Reasonably be Expected to Have?—Crisis and Resolution in Statistical Inference

Robinson, G. K. (2018) · The American Statistician · doi:10.1080/00031305.2017.1415971 · Cited by 17

Wage premium of Communist Party membership: Evidence from China

Nikolov, P., Wang, H., & Acker, K. (2020) · Pacific Economic Review · doi:10.1111/1468-0106.12318 · Cited by 17

Evaluation of propensity score used in cardiovascular research: a cross-sectional survey and guidance document

Samuel, M., Batomen, B., Rouette, J., Kim, J., Platt, R., Brophy, J., & Kaufman, J. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-036961 · Cited by 13

Managed care and cancer outcomes for Medicare beneficiaries with disabilities.

Roetzheim, R. G., Chirikos, T. N., Wells, K. J., McCarthy, E. P., Ngo, L. H., Li, D., Drews, R. E., & Iezzoni, L. I. (2008) · PubMed · Cited by 17

Using propensity score matching to construct experimental stimuli

Huber, S., Dietrich, J. F., Nagengast, B., & Moeller, K. (2016) · Behavior Research Methods · doi:10.3758/s13428-016-0771-8 · Cited by 19

GHRL Gene Leu72Met Polymorphism and Type 2 Diabetes Mellitus: A Meta-Analysis Involving 8,194 Participants

Li, Y., Lu, X.-Z., Yang, X., Wang, H., Geng, H., Gong, G., Zhan, Y., Kim, H. J., & Yang, Z. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00559 · Cited by 17

Estimation of the impact of rural roads on household welfare in Viet Nam

Nguyen, C. V. (2012) · Asia-Pacific development journal · doi:10.18356/e934162d-en · Cited by 17

A dynamic adaptation of the propensity score adjustment for effectiveness analyses of ordinal doses of treatment

Leon, A. C., Mueller, T. I., Solomon, D. A., & Keller, M. B. (2001) · Statistics in Medicine · doi:10.1002/sim.685 · Cited by 17

The questioning statistician

Finney, D. J. (1982) · Statistics in Medicine · doi:10.1002/sim.4780010103 · Cited by 17

Le score de propension, une alternative crédible à la randomisation ?

Filleron, T., & Kwiatowski, F. (2015) · Bulletin du Cancer · doi:10.1016/j.bulcan.2015.10.012 · Cited by 17

A Quasi-Experimental Analysis of Fraternity or Sorority Membership and College Student Success

Bowman, N. A., & Holmes, J. M. (2017) · Journal of college student development · doi:10.1353/csd.2017.0081 · Cited by 16

Effects of the concomitant administration of xanthine oxidase inhibitors with zofenopril or other ACE-inhibitors in post-myocardial infarction patients: a meta-analysis of individual data of four randomized, double-blind, prospective studies

on behalf of the SMILE Working Project, Borghi, C., Omboni, S., Reggiardo, G., Bacchelli, S., Esposti, D. D., & Ambrosioni, E. (2018) · BMC Cardiovascular Disorders · doi:10.1186/s12872-018-0800-x · Cited by 16

CYP11B2 T-344C Gene Polymorphism and Atrial Fibrillation: A Meta-Analysis of 2,758 Subjects

Li, Y., Zhou, C., Xu, J., Qian, Y., & Wang, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050910 · Cited by 16

Constructing Matched Sets and Strata

Rosenbaum, P. R. (2002) · Springer series in statistics · doi:10.1007/978-1-4757-3692-2_10 · Cited by 16

Comparison of Costs and Utilization Between Users of Insulin Lispro Versus Users of Regular Insulin in a Managed Care Setting

Chen, K. S., Chang, E. Y., Summers, K. H., Obenchain, R. L., Yu-Isenberg, K. S., & Sun, P. (2005) · Journal of Managed Care Pharmacy · doi:10.18553/jmcp.2005.11.5.376 · Cited by 16

The effect of residential solar on energy insecurity among low- to moderate-income households

Yozwiak, M., Barbose, G. L., Carley, S. R., Forrester, S., Konisky, D. M., Memmott, T., Montañés, C. C., & O’Shaughnessy, E. (2025) · Nature Energy · doi:10.1038/s41560-025-01730-y · Cited by 15

Polymorphisms in ERCC2 and ERCC5 and Risk of Prostate Cancer: A Meta-Analysis and Systematic Review

Liu, Y., Hu, Y., Zhang, M., Jiang, R., & Liang, C. Y. (2018) · Journal of Cancer · doi:10.7150/jca.25356 · Cited by 15

Myocardial Infarction and AGT p.Thr174Met Polymorphism: A Meta-Analysis of 7657 Subjects

Li, Y., Wang, H., Wang, H., & Zhang, Y.-Y. (2021) · Cardiovascular Therapeutics · doi:10.1155/2021/6667934 · Cited by 15

Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration. Translation to Russian

Vandenbroucke, J. P., von Elm, E. B., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S., Poole, C., Schlesselman, J. J., & Egger, M. (2021) · Digital Diagnostics · doi:10.17816/dd70821 · Cited by 18

Adiponectin-11377CG Gene Polymorphism and Type 2 Diabetes Mellitus in the Chinese Population: A Meta-Analysis of 6425 Subjects

Li, Y., Yang, Z., Zhou, C., Wang, X., Qian, Y., Xu, J., Wang, B., & Wu, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061153 · Cited by 15

Changes in Condom Use During the First Year of HIV Treatment in Uganda and the Relationship to Depression

Wagner, G. J., Ghosh‐Dastidar, B., Slaughter, M. E., Akena, D. H., Nakasujja, N., & Musisi, S. (2014) · Annals of Behavioral Medicine · doi:10.1007/s12160-013-9586-3 · Cited by 15

Atrial fibrillation after coronary surgery: comparison between different health care systems

Majahalme, S. K., Kim, M. H., Bruckman, D., Tarkka, M. R., & Eagle, K. A. (2002) · International Journal of Cardiology · doi:10.1016/s0167-5273(01)00622-2 · Cited by 15

ASSIGNMENT TO TREATMENT GROUP ON THE BASIS OF A COVARIATE

Rubin, D. B. (1976) · ETS Research Bulletin Series · doi:10.1002/j.2333-8504.1976.tb01095.x · Cited by 15

Covariate Balance in Bayesian Propensity Score Approaches for Observational Studies

Chen, J., & Kaplan, D. E. (2014) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2014.911396 · Cited by 15

Sea-level trends along freshwater and seawater mixing in the Uruguayan Rio de la Plata estuary and Atlantic Ocean coast

Verocai, J. E. (2016) · International Journal of Marine Science · doi:10.5376/ijms.2016.06.0007 · Cited by 15

Reducing the bias of web survey based estimates

Bethlehem, J. G. (2007) · Cited by 15

Representation, Randomization, and Control

Kish, L. (1975) · Elsevier eBooks · doi:10.1016/b978-0-12-103950-9.50015-0 · Cited by 15

The Interleukin-18 Promoter -607C>A Polymorphism Contributes to Nasopharyngeal Carcinoma Risk: Evidence from a Meta-analysis Including 1,886 Subjects

Guo, X., & Xia, Y. (2013) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2013.14.12.7577 · Cited by 14

A Novel Approach for Propensity Score Matching and Stratification for Multiple Treatments: Application to an EHR-Derived Study

Brown, D. W., DeSantis, S., Greene, T. J., Maroufy, V., Yaseen, A., Wu, H.-L., Williams, G., & Swartz, M. (2020) · Statistics in Medicine · doi:10.1002/sim.8540 · Cited by 15

Challenges of Applying Wireless Sensor Networks in Logistics

Becker, M., Yuan, S., Jedermann, R., Timm‐Giel, A., Lang, W., & Görg, C. (2009) · Cited by 14

Methods for Detecting and Correcting for Population Stratification

Edwards, T. L., & Gao, X. (2012) · Current Protocols in Human Genetics · doi:10.1002/0471142905.hg0122s73 · Cited by 15

Contextual analysis of determinants of late diagnosis of hepatitis C virus infection in Medicare patients

Chirikov, V., Shaya, F. T., & Howell, C. D. (2015) · Hepatology · doi:10.1002/hep.27775 · Cited by 14

MULTIVARIATE MATCHING METHODS THAT ARE EQUAL PERCENT BIAS REDUCING, I: SOME EXAMPLES

Rubin, D. B. (1974) · ETS Research Bulletin Series · doi:10.1002/j.2333-8504.1974.tb00672.x · Cited by 13

NEDD9 rs760678 polymorphism and the risk of Alzheimer's disease: A meta-analysis

Wang, Y., Bi, L., Wang, H., Li, Y., Di, Q., Xu, W., & Qian, Y. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.08.044 · Cited by 14

A Comparison of Generalized Additive Models to Other Common Modeling Strategies for Continuous Covariates: Implications for Risk Adjustment

Moore, L., Hanley, J. A., Turgeon, A. F., & Lavoie, A. (2011) · Journal of Biometrics & Biostatistics · doi:10.4172/2155-6180.1000109 · Cited by 14

The impact of minimum wages on employment of low‐wage workers

Nguyen, C. V. (2013) · Economics of Transition · doi:10.1111/ecot.12022 · Cited by 14

(Un)Informed Voting? A Test of Compulsory Voting Feedback Effects

Miles, M. R., & Mullinix, K. J. (2019) · Policy Studies Journal · doi:10.1111/psj.12366 · Cited by 14

Economic impact of switching from valsartan to other angiotensin receptor blockers in patients with hypertension

Signorovitch, J., Zhang, J., Wu, E. Q., Latrémouille-Viau, D., Yu, A. P., Dastani, H. B., & Kahler, K. H. (2010) · Current Medical Research and Opinion · doi:10.1185/03007991003613910 · Cited by 14

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