Testing weak nulls in matched observational studies
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DOI: 10.1111/biom.13741
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- Brian L. Egleston & Daniel O. Scharfstein & Ellen MacKenzie, 2009. "On Estimation of the Survivor Average Causal Effect in Observational Studies When Important Confounders Are Missing Due to Death," Biometrics, The International Biometric Society, vol. 65(2), pages 497-504, June.
- Joseph L. Gastwirth & Abba M. Krieger & Paul R. Rosenbaum, 2000. "Asymptotic separability in sensitivity analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 545-555.
- Ben B. Hansen, 2004. "Full Matching in an Observational Study of Coaching for the SAT," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 609-618, January.
- Zhiqiang Tan, 2010. "Bounded, efficient and doubly robust estimation with inverse weighting," Biometrika, Biometrika Trust, vol. 97(3), pages 661-682.
- Nicole E. Pashley & Luke W. Miratrix, 2021. "Insights on Variance Estimation for Blocked and Matched Pairs Designs," Journal of Educational and Behavioral Statistics, , vol. 46(3), pages 271-296, June.
- Paul R. Rosenbaum, 2013. "Impact of Multiple Matched Controls on Design Sensitivity in Observational Studies," Biometrics, The International Biometric Society, vol. 69(1), pages 118-127, March.
- Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
- Colin B. Fogarty, 2018. "On mitigating the analytical limitations of finely stratified experiments," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(5), pages 1035-1056, November.
- AlexanderM. Franks & Alexander D’Amour & Avi Feller, 2020. "Flexible Sensitivity Analysis for Observational Studies Without Observable Implications," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(532), pages 1730-1746, December.
- Peter L. Cohen & Colin B. Fogarty, 2022. "Gaussian prepivoting for finite population causal inference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 295-320, April.
- Colin B. Fogarty, 2020. "Studentized Sensitivity Analysis for the Sample Average Treatment Effect in Paired Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1518-1530, July.
- Qingyuan Zhao & Dylan S. Small & Bhaswar B. Bhattacharya, 2019. "Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 81(4), pages 735-761, September.
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