References
- Basford, K.E., McLachlan, G.J. (1985). Likelihood estimation with normal mixture models. Journal of Applied Statistics 34:282–289.
- Chen, X., Dempster, A.P., Liu, J. (1994). Weighted finite population sampling to maximize entropy. Biometrika 81:457–469.
- Chen, X., Liu, J. (1997). Statistical application of the poisson-binomial and conditional Bernoulli distributions. Statistica Sinica 7:875–892.
- Chen, Y., Yang, S. (2007). Estimating disaggregate models using aggregate data through augmentation of individual choice. Journal of Marketing Research 44:613–621.
- Choi, T., Schervish, M.J., Schmitt, K.A., Small, M.J. (2008). A Bayesian approach to logistic regression model with incomplete information. Biometrics 64:424–430.
- Dempster, A.P., Laird, N.M., Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of Royal Statistical Society Series B 39:1–38.
- Friede, T., Kieser, M. (2001). A comparison of methods for adaptive sample size adjustment. Statistics in Medicine 20:3861–3873.
- Friede, T., Kieser, M. (2002). On the inappropriateness of an EM algorithm based procedure for blinded sample size re-estimation. Statistics in Medicine 21:165–176.
- Gail, M.H., Lubin, J.H., Rubinstein, L.V. (1981). Likelihood calculation for matched case-control studies and survival studies with tied death times. Biometrika 68:703–707.
- Gould, A.L., Shih, W.J. (1992). Sample size re-estimation without unblinding for normally distributed outcomes with unknown variance. Communications in Statistics 21:2833–2853.
- McLachlan, G.J., Peel, D. (2000). Finite Mixture Models. New York: Wiley.
- Musalem, A., Bradlow, E.T., Raju, J.S. (2009). Bayesian estimation of random-coefficients choice models using aggregate data. Journal of Applied Econometrics 24:490–516.
- Nettleton, D. (1999). Convergence properties of the EM algorithm in constrained parameter spaces. The Canadian Journal of Statistics 27:639–648.
- Park, T. (2011). Bayesian analysis of individual choice behavior with aggregate data. The Journal of Computational and Graphical Statistics 20:158–173.
- Rosenberger, W.F., Lachin, J.M. (2002). Randomization in Clinical Trials: Theory and Practice. New York: Wiley, pp 81–83.
- Stephens, M. (2000). Dealing with label switching in mixture models. Journal of Royal Statistical Society 62:795–809.
- Teel, C. (2011). Improved sample size reestimation in adaptive clinical trials without unblinding. Ph.D. thesis, Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
- Verhelst, N.D. (2008). An efficient MCMC algorithm to sampler binary matrices with fixed marginals. Psychometrika 73:705–728.
- Xing, B., Ganju, J. (2005). A method to estimate the variance of an endpoint from an on-going blinded trial. Statistics in Medicine 24:1807–1814.
- Zucker, D.M., Wittes, J.T., Schabenberger, O., Brittain, E. (1999). Internal pilot studies II : comparison of various procedure. Statistics in Medicine 18:3493–3509.