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This project considers how one might augment a limited amount of data from randomized controlled trial (RCT) with more plentiful data from an observational database (ODB), in order to estimate a causal effect.
A new look at the statistical model identification
Akaike, H. (1974) · 1974
Earlier work this paper cites.
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · 1974
Earlier work this paper cites.
Reducing bias in observational studies using subclassification on the propensity score
Rosenbaum, P. R. and Rubin, D. B. (1984) · 1984
Earlier work this paper cites.
Statistical power analysis for the behavioral sciences
Cohen, J. (1988) · 1988
Earlier work this paper cites.
Research methods: A process of inquiry
Graziano, A. M. and Raulin, M. L. (1993) · 1993
Earlier work this paper cites.
Invited commentary: Propensity scores
Joffe, M. M. and Rosenbaum, P. R. (1999) · 1999
Earlier work this paper cites.
Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the women’s health initiative randomized controlled trial
Writing Group for the Women’s Health Initiative Investigators (2002) · 2002
Earlier work this paper cites.
The women’s health initiative recruitment methods and results
Hays, J., Hunt, J. R., Hubbell, F. A., Anderson, G. L., Limacher, M., Allen, C., and Rossouw, J. E. (2003) · 2003
Cited alongside, same era.
Combined postmenopausal hormone therapy and cardiovascular disease: toward resolving the discrepancy between observational studies and the women’s health initiative clinical trial
Prentice, R. L., Langer, R., Stefanick, M. L., Howard, B. V., Pettinger, M., Anderson, G., Barad, D., Curb, J. D., Kotchen, J., Kuller, L., et al. (2005) · 2005
Cited alongside, same era.
Best practices in quasi-experimental designs: Matching methods for causal inference
Stuart, E. A. and Rubin, D. B. (2007) · 2007
Cited alongside, same era.
Design of Observational Studies
Rosenbaum, P. (2009) · 2009
Cited alongside, same era.
Propensity score matching in randomized clinical trials
Xu, Z. and Kalbfleisch, J. D. (2010) · 2010
Cited alongside, same era.
The heterogeneous economic returns to military service: Evidence from the Wisconsin longitudinal study
DellaPosta, D. J. (2013) · 2013
Later among the works it cites.
From SATE to PATT: Combining experimental with observational studies to estimate population treatment effects
Hartman, E., Grieve, R., Ramsahai, R., and Sekhon, J. S. (2013) · 2013
Later among the works it cites.
ebal: Entropy reweighting to create balanced samples
Hainmueller, J. (2014) · 2014
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Imbens, G. W. and Rubin, D. B. (2015) · 2015
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Combining observational and experimental data to find heterogeneous treatment effects
Peysakhovich, A. and Lada, A. (2016) · 2016
Later among the works it cites.
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The impact of college education on fertility: Evidence for heterogeneous effects
Brand, J. E. and Davis, D. (2011) · 2011
Cited alongside, same era.
Estimating heterogeneous treatment effects with observational data
Xie, Y., Brand, J. E., and Jann, B. (2012) · 2012
Cited alongside, same era.
Assessing sample representativeness in randomized controlled trials: application to the national institute of drug abuse clinical trials network
Susukida, R., Crum, R. M., Stuart, E. A., Ebnesajjad, C., and Mojtabai, R. (2016) · 2016
Later among the works it cites.
Generalizing treatment effect estimates from sample to population: A case study in the difficulties of finding sufficient data
Stuart, E. A. and Rhodes, A. (2017) · 2017
Later among the works it cites.