References
- Food and Drug Administration. (2014). Guidance for industry and Food and Drug Administration staff: in vitro companion diagnostic devices (issued on: August 6, 2014).
- Funk, M. J., Westreich, D., Wiesen, C., Strmer, T., Brookhart, M. A., Davidian, M. (2011). Doubly robust estimation of causal effects. American Journal of Epidemiology 173(7):761–767.
- Hansen, B. B. (2004). Full matching in an observational study of coaching for the SAT. Journal of the American Statistical Association 99(467):609–618.
- Hansen, B. B., Klopfer, S. O. (2012). Optimal full matching and related designs via network flows. Journal of Computational and Graphical Statistics 15(3):290–312.
- Li, M. (2015). Statistical consideration and challenges in bridging study of personalized medicine. Journal of Biopharmaceutical Statistics 25(3):397–407.
- Lunceford, J. K., Davidian, M. (2004). Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine 23(19):2937–2960.
- MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods 7:83–104.
- Rosenbaum, P. R. (1991). A characterization of optimal designs for observational studies. Journal of the Royal Statistical Society. Series B (Methodological) 15(3):597–610.
- Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In: S. Leinhardt (Ed.), Sociological Methodology 13:290–312.