Commentary
On the limitations of comparative effectiveness research
Donald B. Rubin,
Corresponding Author
Donald B. Rubin
Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, U.S.A.
Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, U.S.A.Search for more papers by this authorDonald B. Rubin,
Corresponding Author
Donald B. Rubin
Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, U.S.A.
Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, U.S.A.Search for more papers by this author
References
- 1 Cochran WG. The planning of observational studies of human populations. Journal of the Royal Statistical Society A 1965; 128: 234–265.
- 2 Hedges LV, Olkin I. Statistical Methods for Meta-Analysis. Academic Press: Orlando, 1985.
- 3 Rubin DB. Meta-analysis: literature synthesis or effect-size surface estimation? Journal of Educational Statistics 1992; 17: 363–374.
- 4 Society for Research Synthesis Methodology. Research synthesis. Available from: www.srsm.org.
- 5 Rubin DB. Bayesian inference for causal effects: the role of randomization. The Annals of Statistics 1978; 6: 34–58.
- 6 Rubin DB. Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine 1997; 127: 757–763.
- 7 Rubin DB. Formal modes of statistical inference for causal effects. Journal of Statistical Planning and Inference 1990; 25: 279–292.
- 8 Rubin DB. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials. Statistics in Medicine 2007; 26: 20–30.
- 9 Rubin DB. For objective causal inference, design trumps analysis. The Annals of Applied Statistics 2008; 2: 808–840.
- 10 Rubin DB, Wolos CK. Diagnostics for propensity score matching: creating a balanced control group to assess in vitro fertilization guidelines. Unpublished paper presented at the 2009 Joint Statistical Meetings, 5 August 2009, Washington, DC.
- 11 Sommer A, Zeger S. On estimating efficacy from clinical trials. Statistics in Medicine 1991; 10: 45–52.
- 12 Angrist JD, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables. Journal of the American Statistical Association 1996; 91: 444–472.
- 13 Rubin DB, Wang X, Yin L, Zell ER. Bayesian causal inference: approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification. In Handbook of Applied Bayesian Analysis, T O'Hagan, M West (eds), Chapter 24. Oxford University Press: Oxford, 2010.
- 14 Thistlewaite DL, Campbell DC. Regression-discontinuity analysis: an alternative to the ex-post facto experiment. Journal of Educational Psychology 1970; 51: 309–317.