Fetching the paper…
Reading the bibliography…
Randomized trials are considered the gold standard for estimating causal effects.
Generalizing trial findings in nested trial designs with sub-sampling of non-randomized individuals
Dahabreh, I. J., Hernan, M. A., Robertson, S. E., Buchanan, A., and Steingrimsson, J. A. (2019) · 1902
Earlier work this paper cites.
The role of sampling weights when modeling survey data
Pfeffermann, D. (1993) · 1993
Earlier work this paper cites.
Large-scale randomized evidence: large, simple trials and overviews of trials
Peto, R., Collins, R., and Gray, R. (1995) · 1995
Earlier work this paper cites.
Experimental and quasi-experimental designs for generalized causal inference
Shadish, W. R., Cook, T. D., and Campbell, D. T. (2002) · 2002
Earlier work this paper cites.
National health and nutrition examination survey data
CDC (2003) · 2003
Earlier work this paper cites.
Premier: a clinical trial of comprehensive lifestyle modification for blood pressure control: rationale, design and baseline characteristics
Svetkey, L. P., Harsha, D. W., Vollmer, W. M., Stevens, V. J., Obarzanek, E., Elmer, P. J., Lin, P.-H., Champagne, C., Simons-Morton, D. G., Aickin, M., et al. (2003) · 2003
Earlier work this paper cites.
Propensity score estimation with boosted regression for evaluating causal effects in observational studies
McCaffrey, D. F., Ridgeway, G., and Morral, A. R. (2004) · 2004
Earlier work this paper cites.
Beyond efficacy: the star* d trial
Insel, T. R. (2006) · 2006
Earlier work this paper cites.
A comparison of propensity score and linear regression analysis of complex survey data
Zanutto, E. L. (2006) · 2006
Earlier work this paper cites.
Super learner
Van der Laan, M. J., Polley, E. C., and Hubbard, A. E. (2007) · 2007
Earlier work this paper cites.
Misunderstandings between experimentalists and observationalists about causal inference
Imai, K., King, G., and Stuart, E. A. (2008) · 2008
Earlier work this paper cites.
Generalizing evidence from randomized clinical trials to target populations: The actg 320 trial
Cole, S. R. and Stuart, E. A. (2010) · 2010
Cited alongside, same era.
Bayesian nonparametric modeling for causal inference
Hill, J. L. (2011) · 2011
Cited alongside, same era.
External validity in policy evaluations that choose sites purposively
Olsen, R. B., Orr, L. L., Bell, S. H., and Stuart, E. A. (2013) · 2013
Cited alongside, same era.
Practical tools for designing and weighting survey samples
Valliant, R., Dever, J. A., and Kreuter, F. (2013) · 2013
Cited alongside, same era.
Internet-delivered treatment for substance abuse: a multisite randomized controlled trial
Campbell, A. N., Nunes, E. V., Matthews, A. G., Stitzer, M., Miele, G. M., Polsky, D., Turrigiano, E., Walters, S., McClure, E. A., Kyle, T. L., et al. (2014) · 2014
Cited alongside, same era.
Generalizing observational study results: applying propensity score methods to complex surveys
It’s all about balance: propensity score matching in the context of complex survey data
Lenis, D., Nguyen, T. Q., Dong, N., and Stuart, E. A. (2017) · 2017
Later among the works it cites.
Treatment prediction, balance, and propensity score adjustment
Moodie, E. E. and Stephens, D. A. (2017) · 2017
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.
Transportability of trial results using inverse odds of sampling weights
Westreich, D., Edwards, J. K., Lesko, C. R., Stuart, E., and Cole, S. R. (2017) · 2017
Later among the works it cites.
Propensity score matching and complex surveys
Austin, P. C., Jembere, N., and Chiu, M. (2018) · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
DuGoff, E. H., Schuler, M., and Stuart, E. A. (2014) · 2014
Cited alongside, same era.
National health and nutrition examination survey: sample design, 2011–2014
Johnson, C. L., Dohrmann, S. M., Burt, V., and Mohadjer, L. K. (2014) · 2014
Cited alongside, same era.
Estimating population treatment effects from a survey subsample
Rudolph, K. E., Díaz, I., Rosenblum, M., and Stuart, E. A. (2014) · 2014
Cited alongside, same era.
Propensity score analysis with survey weighted data
Ridgeway, G., Kovalchik, S. A., Griffin, B. A., and Kabeto, M. U. (2015) · 2015
Cited alongside, same era.
Assessing methods for generalizing experimental impact estimates to target populations
Kern, H. L., Stuart, E. A., Hill, J., and Green, D. P. (2016) · 2016
Cited alongside, same era.
Super-learning of an optimal dynamic treatment rule
Luedtke, A. R. and van der Laan, M. J. (2016) · 2016
Cited alongside, same era.
Buchanan, A. L., Hudgens, M. G., Cole, S. R., Mollan, K. R., Sax, P. E., Daar, E. S., Adimora, A. A., Eron, J. J., and Mugavero, M. J. (2018) · 2018
Later among the works it cites.
Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details
Nguyen, T. Q., Ackerman, B., Schmid, I., Cole, S. R., and Stuart, E. A. (2018) · 2018
Later among the works it cites.
Estimation methods for nonprobability samples with a companion probability sample
Yang, M., Ganesh, N., Mulrow, E., and Pineau, V. (2018) · 2018
Later among the works it cites.
WeightIt: Weighting for Covariate Balance in Observational Studies
Greifer, N. (2019) · 2019
Later among the works it cites.
R: A Language and Environment for Statistical Computing
R Core Team (2019) · 2019
Later among the works it cites.
Improved generalizability through improved recruitment: Lessons learned from a large-scale randomized trial
Tipton, E. and Matlen, B. J. (2019) · 2019
Later among the works it cites.