IDEAS home Printed from https://ideas.repec.org/r/bla/jorssa/v174y2011i2p369-386.html
   My bibliography  Save this item

The use of propensity scores to assess the generalizability of results from randomized trials

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Denis Fougère & Nicolas Jacquemet, 2019. "Causal Inference and Impact Evaluation," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 181-200.
  2. Lara Hulsey & Joshua Leftin & Anne Gordon & Claire Smither Wulsin & Nicholas Redel & Allen Schirm & Nicholas Beyler & Sheila Heaviside & Brian Estes & Carole Trippe, "undated". "Year 2 Demonstration Impacts of Using Medicaid Data to Directly Certify Students for Free School Meals," Mathematica Policy Research Reports 2ce1e3c4e29a43e9aa574274d, Mathematica Policy Research.
  3. Ranjbar, Setareh & Salvati, Nicola & Pacini, Barbara, 2023. "Estimating heterogeneous causal effects in observational studies using small area predictors," Computational Statistics & Data Analysis, Elsevier, vol. 184(C).
  4. Hunt Allcott, 2012. "Site Selection Bias in Program Evaluation," NBER Working Papers 18373, National Bureau of Economic Research, Inc.
  5. Ray Chambers & Setareh Ranjbar & Nicola Salvati & Barbara Pacini, 2022. "Weighting, informativeness and causal inference, with an application to rainfall enhancement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1584-1612, October.
  6. Robert W. Hahn & Robert D. Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," American Economic Review, American Economic Association, vol. 111(5), pages 1658-1688, May.
  7. Lihua Lei & Roshni Sahoo & Stefan Wager, 2023. "Policy Learning under Biased Sample Selection," Papers 2304.11735, arXiv.org.
  8. Chen, Jun & Hshieh, Shenje & Zhang, Feng, 2021. "The role of high-skilled foreign labor in startup performance: Evidence from two natural experiments," Journal of Financial Economics, Elsevier, vol. 142(1), pages 430-452.
  9. Matthew J Tudball & Rachael A Hughes & Kate Tilling & Jack Bowden & Qingyuan Zhao, 2023. "Sample-constrained partial identification with application to selection bias," Biometrika, Biometrika Trust, vol. 110(2), pages 485-498.
  10. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
  11. Michael Gechter & Keisuke Hirano & Jean Lee & Mahreen Mahmud & Orville Mondal & Jonathan Morduch & Saravana Ravindran & Abu S. Shonchoy, 2024. "Selecting Experimental Sites for External Validity," Papers 2405.13241, arXiv.org.
  12. Ashis Das & Jed Friedman & Eeshani Kandpal, 2018. "Does involvement of local NGOs enhance public service delivery? Cautionary evidence from a malaria‐prevention program in India," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 172-188, January.
  13. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
  14. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
  15. Isaiah Andrews & Emily Oster, 2017. "A Simple Approximation for Evaluating External Validity Bias," NBER Working Papers 23826, National Bureau of Economic Research, Inc.
  16. Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03455978, HAL.
  17. Elizabeth Tipton & Kelly Hallberg & Larry V. Hedges & Wendy Chan, 2017. "Implications of Small Samples for Generalization: Adjustments and Rules of Thumb," Evaluation Review, , vol. 41(5), pages 472-505, October.
  18. Peter Z. Schochet, "undated". "Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs," Mathematica Policy Research Reports a0c005c003c242308a92c02dc, Mathematica Policy Research.
  19. Andrews, Isaiah & Oster, Emily, 2019. "A simple approximation for evaluating external validity bias," Economics Letters, Elsevier, vol. 178(C), pages 58-62.
  20. Fan Li & Ashley L. Buchanan & Stephen R. Cole, 2022. "Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 669-697, June.
  21. Elizabeth Tipton & Robert B. Olsen, "undated". "Enhancing the Generalizability of Impact Studies in Education," Mathematica Policy Research Reports 35d5625333dc480aba9765b3b, Mathematica Policy Research.
  22. Frederico Finan & Demian Pouzo, 2021. "Reinforcing RCTs with Multiple Priors while Learning about External Validity," Papers 2112.09170, arXiv.org, revised Sep 2024.
  23. Jens Ludwig & Jeffrey R. Kling & Sendhil Mullainathan, 2011. "Mechanism Experiments and Policy Evaluations," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 17-38, Summer.
  24. Jörg Peters & Jörg Langbein & Gareth Roberts, 2018. "Generalization in the Tropics – Development Policy, Randomized Controlled Trials, and External Validity," The World Bank Research Observer, World Bank, vol. 33(1), pages 34-64.
  25. Ottoboni Kellie N. & Poulos Jason V., 2020. "Estimating population average treatment effects from experiments with noncompliance," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 108-130, January.
  26. Elizabeth A. Stuart & Anna Rhodes, 2017. "Generalizing Treatment Effect Estimates From Sample to Population: A Case Study in the Difficulties of Finding Sufficient Data," Evaluation Review, , vol. 41(4), pages 357-388, August.
  27. Elizabeth Tipton, 2021. "Beyond generalization of the ATE: Designing randomized trials to understand treatment effect heterogeneity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 504-521, April.
  28. Vishal Gupta & Brian Rongqing Han & Song-Hee Kim & Hyung Paek, 2020. "Maximizing Intervention Effectiveness," Management Science, INFORMS, vol. 66(12), pages 5576-5598, December.
  29. Lihua Lei & Emmanuel J. Candès, 2021. "Conformal inference of counterfactuals and individual treatment effects," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(5), pages 911-938, November.
  30. Sarah A. Avellar & Jaime Thomas & Rebecca Kleinman & Emily Sama-Miller & Sara E. Woodruff & Rebecca Coughlin & T’Pring R. Westbrook, 2017. "External Validity: The Next Step for Systematic Reviews?," Evaluation Review, , vol. 41(4), pages 283-325, August.
  31. Yi Yanyao & Zhang Ying & Du Yu & Ye Ting, 2023. "Testing for treatment effect twice using internal and external controls in clinical trials," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-13.
  32. Jonathan M.V. Davis & Jonathan Guryan & Kelly Hallberg & Jens Ludwig, 2017. "The Economics of Scale-Up," NBER Working Papers 23925, National Bureau of Economic Research, Inc.
  33. Lauren Cappiello & Zhiwei Zhang & Changyu Shen & Neel M. Butala & Xinping Cui & Robert W. Yeh, 2021. "Adjusting for population differences using machine learning methods," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 750-769, June.
  34. Elizabeth Tipton & Laura R. Peck, 2017. "A Design-Based Approach to Improve External Validity in Welfare Policy Evaluations," Evaluation Review, , vol. 41(4), pages 326-356, August.
  35. Wendy Chan, 2018. "Applications of Small Area Estimation to Generalization With Subclassification by Propensity Scores," Journal of Educational and Behavioral Statistics, , vol. 43(2), pages 182-224, April.
  36. Naoki Egami & Erin Hartman, 2021. "Covariate selection for generalizing experimental results: Application to a large‐scale development program in Uganda," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1524-1548, October.
  37. Lara Hulsey & Anne Gordon & Joshua Leftin & Claire Smither-Wulsin & Allen Schirm & Nicholas Beyler & Anna Comerford & Jessica Galin & Brian Estes & Carole Trippe, "undated". "Evaluation of Demonstrations of National School Lunch Program and School Breakfast Program Direct Certification of Children Receiving Medicaid Benefits: Year 1 Report," Mathematica Policy Research Reports 856deb2700894609b7c26f577, Mathematica Policy Research.
  38. Adesina, Adedoyin & Akogun, Oladele & Dillon, Andrew & Friedman, Jed & Njobdi, Sani & Serneels, Pieter, 2017. "Robustness and External Validity: What do we Learn from Repeated Study Designs over Time?," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266292, Agricultural and Applied Economics Association.
  39. Ashley L. Buchanan & Michael G. Hudgens & Stephen R. Cole & Katie R. Mollan & Paul E. Sax & Eric S. Daar & Adaora A. Adimora & Joseph J. Eron & Michael J. Mugavero, 2018. "Generalizing evidence from randomized trials using inverse probability of sampling weights," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1193-1209, October.
  40. Andrew P. Jaciw, 2016. "Assessing the Accuracy of Generalized Inferences From Comparison Group Studies Using a Within-Study Comparison Approach," Evaluation Review, , vol. 40(3), pages 199-240, June.
  41. Kara E. Rudolph & Jonathan Levy & Mark J. van der Laan, 2021. "Transporting stochastic direct and indirect effects to new populations," Biometrics, The International Biometric Society, vol. 77(1), pages 197-211, March.
  42. Kara E. Rudolph & Mark J. Laan, 2017. "Robust estimation of encouragement design intervention effects transported across sites," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1509-1525, November.
  43. Chen, Meng-Ting & Feliciano, Zadia M., 2024. "Intangible assets, corporate tax credits and pharmaceutical establishments," Emerging Markets Review, Elsevier, vol. 60(C).
  44. Xinyu Li & Wang Miao & Fang Lu & Xiao‐Hua Zhou, 2023. "Improving efficiency of inference in clinical trials with external control data," Biometrics, The International Biometric Society, vol. 79(1), pages 394-403, March.
  45. Muller, Seán M., 2020. "The implications of a fundamental contradiction in advocating randomized trials for policy," World Development, Elsevier, vol. 127(C).
  46. Elizabeth Tipton, 2014. "How Generalizable Is Your Experiment? An Index for Comparing Experimental Samples and Populations," Journal of Educational and Behavioral Statistics, , vol. 39(6), pages 478-501, December.
  47. Daido Kido, 2022. "Distributionally Robust Policy Learning with Wasserstein Distance," Papers 2205.04637, arXiv.org, revised Aug 2022.
  48. Lingxiao Wang & Barry I. Graubard & Hormuzd A. Katki & and Yan Li, 2020. "Improving external validity of epidemiologic cohort analyses: a kernel weighting approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1293-1311, June.
  49. Dasom Lee & Shu Yang & Lin Dong & Xiaofei Wang & Donglin Zeng & Jianwen Cai, 2023. "Improving trial generalizability using observational studies," Biometrics, The International Biometric Society, vol. 79(2), pages 1213-1225, June.
  50. Nianbo Dong & Elizabeth A. Stuart & David Lenis & Trang Quynh Nguyen, 2020. "Using Propensity Score Analysis of Survey Data to Estimate Population Average Treatment Effects: A Case Study Comparing Different Methods," Evaluation Review, , vol. 44(1), pages 84-108, February.
  51. Sharples, Linda D., 2018. "The role of statistics in the era of big data: Electronic health records for healthcare research," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 105-110.
  52. Sean Yiu & Li Su, 2018. "Covariate association eliminating weights: a unified weighting framework for causal effect estimation," Biometrika, Biometrika Trust, vol. 105(3), pages 709-722.
  53. Jacob Alex Klerman, 2017. "Editor in Chief’s Comment: External Validity in Systematic Reviews," Evaluation Review, , vol. 41(5), pages 391-402, October.
  54. Pritchett Lant & Sandefur Justin, 2014. "Context Matters for Size: Why External Validity Claims and Development Practice do not Mix," Journal of Globalization and Development, De Gruyter, vol. 4(2), pages 161-197, March.
  55. Lara Hulsey & Anne Gordon & Joshua Leftin & Nicholas Beyler & Allen Schirm & Claire Smither-Wulsin & Will Crumbley, "undated". "Evaluation of Demonstrations of National School Lunch Program and School Breakfast Program Direct Certification of Children Receiving Medicaid Benefits: Access Evaluation Report," Mathematica Policy Research Reports 60b99b345bf14b609348b48a6, Mathematica Policy Research.
  56. Das, Ashis & Friedman, Jed & Kandpal, Eeshani, 2014. "Does involvement of local NGOs enhance public service delivery ? cautionary evidence from a Malaria-prevention evaluation in India," Policy Research Working Paper Series 6931, The World Bank.
  57. Elizabeth Tipton, 2013. "Stratified Sampling Using Cluster Analysis," Evaluation Review, , vol. 37(2), pages 109-139, April.
  58. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
  59. repec:mpr:mprres:8128 is not listed on IDEAS
  60. David M. Phillippo & Anthony E. Ades & Sofia Dias & Stephen Palmer & Keith R. Abrams & Nicky J. Welton, 2018. "Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal," Medical Decision Making, , vol. 38(2), pages 200-211, February.
  61. Kellie Ottoboni & Jason Poulos, 2019. "Estimating population average treatment effects from experiments with noncompliance," Papers 1901.02991, arXiv.org, revised Aug 2020.
  62. Qingyuan Zhao & Dylan S. Small & Ashkan Ertefaie, 2022. "Selective inference for effect modification via the lasso," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 382-413, April.
  63. Lant Pritchett, Justin Sandefur, 2013. "Context Matters for Size: Why External Validity Claims and Development Practice Don't Mix-Working Paper 336," Working Papers 336, Center for Global Development.
  64. Bo Zhang, 2023. "Efficient algorithms for building representative matched pairs with enhanced generalizability," Biometrics, The International Biometric Society, vol. 79(4), pages 3981-3997, December.
  65. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
  66. Esterling, Kevin M. & Brady, David & Schwitzgebel, Eric, 2023. "The Necessity of Construct and External Validity for Generalized Causal Claims," I4R Discussion Paper Series 18, The Institute for Replication (I4R).
  67. Sookyo Jeong & Hongseok Namkoong, 2020. "Assessing External Validity Over Worst-case Subpopulations," Papers 2007.02411, arXiv.org, revised Feb 2022.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.