Citations (41)
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Ben B. Hansen, Paul R. Rosenbaum & Dylan S. Small. (2014) Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies. Journal of the American Statistical Association 109:505, pages 133-144.
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JesseY. Hsu, DylanS. Small & PaulR. Rosenbaum. (2013) Effect Modification and Design Sensitivity in Observational Studies. Journal of the American Statistical Association 108:501, pages 135-148.
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JosephL. Gastwirth, AbbaM. Krieger & PaulR. Rosenbaum. (1997) Reply: Unquestionably Impossible. The American Statistician 51:2, pages 115-116.
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PaulR. Rosenbaum. (1996) Comment. Journal of the American Statistical Association 91:434, pages 465-468.
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PaulR. Rosenbaum. (1995) Quantiles in Nonrandom Samples and Observational Studies. Journal of the American Statistical Association 90:432, pages 1424-1431.
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Joseph Gastwirth, Abba Krieger & Paul Rosenbaum. (1994) How a Court Accepted an Impossible Explanation. The American Statistician 48:4, pages 313-315.
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Articles from other publishers (35)
Susan Athey, Peter J Bickel, Aiyou Chen, Guido W Imbens & Michael Pollmann. (2023) Semi-parametric estimation of treatment effects in randomised experiments. Journal of the Royal Statistical Society Series B: Statistical Methodology 85:5, pages 1615-1638.
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Richard Aviles-Lopez, Juan de Dios Luna del Castillo & Miguel Ángel Montero-Alonso. (2023) Exploratory Matching Model Search Algorithm (EMMSA) for Causal Analysis: Application to the Cardboard Industry. Mathematics 11:21, pages 4506.
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Emily Kawabata, Kate Tilling, Rolf H. H. Groenwold & Rachael A. Hughes. (2023) Quantitative bias analysis in practice: review of software for regression with unmeasured confounding. BMC Medical Research Methodology 23:1.
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Yoshimasa Kawazoe, Kiminori Shimamoto, Daisaku Shibata, Emiko Shinohara, Hideaki Kawaguchi & Tomotaka Yamamoto. (2022) Impact of a Clinical Text–Based Fall Prediction Model on Preventing Extended Hospital Stays for Elderly Inpatients: Model Development and Performance Evaluation. JMIR Medical Informatics 10:7, pages e37913.
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Mohummed Shofi Ullah Mazumder. (2021) The Effects of Microfinance Programs on Recipients’ Livelihoods in Rural Bangladesh. The European Journal of Development Research 34:3, pages 1383-1418.
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Judea Pearl. 2022. Probabilistic and Causal Inference. Probabilistic and Causal Inference
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Shunyuan Zhang, Dokyun Lee, Param Vir Singh & Kannan Srinivasan. (2021) What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features. Management Science.
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Paul R. RosenbaumPaul R. Rosenbaum. 2020. Design of Observational Studies. Design of Observational Studies
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Ulrike HeldJohann SteurerGiuseppe PichierriMaria M. WertliMazda FarshadFlorian BrunnerRoman GuggenbergerFrançois Porchet, Tamás F. Fekete, Urs D. Schmid, Isaac GravestockJakob M. Burgstaller. (2019) What is the treatment effect of surgery compared with nonoperative treatment in patients with lumbar spinal stenosis at 1-year follow-up?. Journal of Neurosurgery: Spine 31:2, pages 185-193.
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Zhengning Lin. (2019) Assessing the impact of extreme values in clinical studies−a latent variable approach. Biometrics & Biostatistics International Journal 8:3, pages 85-91.
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Paul R. Rosenbaum. (2017) The General Structure of Evidence Factors in Observational Studies. Statistical Science 32:4.
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Mike Adams & Wei Jiang. (2017) Do Chief Executives’ Traits Affect the Financial Performance of Risk‐trading Firms? Evidence from the UK Insurance Industry. British Journal of Management 28:3, pages 481-501.
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Rani Hoitash, Udi Hoitash & Ahmet C. Kurt. (2016) Do accountants make better chief financial officers?. Journal of Accounting and Economics 61:2-3, pages 414-432.
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Rajan Sharma, Elizaveta Sopina & Jan Sørensen. (2016) Using Propensity Score Matching Technique to Estimate Utilization and Costs of General Practitioners’ Services associated with Alzheimer’s Disease. Journal of Health Economics and Outcomes Research 4:1, pages 67-79.
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Mohummed Shofi Ullah Mazumder & Lu Wencong. (2015) Does Microfinance Impact on Rural Empowerment in Bangladesh? Differences Between Governmental and Non‐Governmental Microfinance Programs. Sustainable Development 23:3, pages 135-152.
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Joseph L. Gastwirth, Abba M. Krieger & Paul R. Rosenbaum. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
José R. Zubizarreta, Ricardo D. Paredes & Paul R. Rosenbaum. (2014) Matching for balance, pairing for heterogeneity in an observational study of the effectiveness of for-profit and not-for-profit high schools in Chile. The Annals of Applied Statistics 8:1.
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Michael J. Peel & Gerald H. Makepeace. (2012) Differential Audit Quality, Propensity Score Matching and Rosenbaum Bounds for Confounding Variables. Journal of Business Finance & Accounting 39:5-6, pages 606-648.
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Paul R. Rosenbaum. (2012) An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer. The Annals of Applied Statistics 6:1.
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Hansjoerg Gaus & Christoph Emanuel Mueller. (2012) Evaluating Free-Choice Climate Education Interventions Applying Propensity Score Matching. Evaluation Review 35:6, pages 673-722.
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Paul R. Rosenbaum. 2011. Looking Back. Looking Back
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Paul R. Rosenbaum. (2007) Sensitivity Analysis for m‐Estimates, Tests, and Confidence Intervals in Matched Observational Studies. Biometrics 63:2, pages 456-464.
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Jennifer Hill & Jerome P. Reiter. (2005) Interval estimation for treatment effects using propensity score matching. Statistics in Medicine 25:13, pages 2230-2256.
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Joseph L. Gastwirth, Abba M. Krieger & Paul R. Rosenbaum. 2005. Encyclopedia of Biostatistics. Encyclopedia of Biostatistics.
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Paul R. Rosenbaum. (2004) Reduced Sensitivity to Hidden Bias at Upper Quantiles in Observational Studies with Dilated Treatment Effects. Biometrics 55:2, pages 560-564.
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Sue M. Marcus. (2016) Using Omitted Variable Bias to Assess Uncertainty in the Estimation of an AIDS Education Treatment Effect. Journal of Educational and Behavioral Statistics 22:2, pages 193-201.
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Paul R. Rosenbaum. 1996. Design and Analysis of Experiments. Design and Analysis of Experiments
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Paul R. RosenbaumPaul R. Rosenbaum. 1995. Observational Studies. Observational Studies
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Marianne Bertrand, Esther Duflo & Sendhil Mullainathan. (2001) How Much Should We Trust Differences-in-Differences Estimates?. SSRN Electronic Journal.
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Rani Hoitash, Udi Hoitash & Ahmet C. Kurt. (2013) Do Accountants Make Better Chief Financial Officers?. SSRN Electronic Journal.
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Michael J. Peel & Gerry H Makepeace. (2009) Propensity Score Matching in Accounting Research and Rosenbaum Bounds Analysis for Confounding Variables. SSRN Electronic Journal.
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